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Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #0
Rankmax: An Adaptive Projection Alternative to the Softmax Function
Weiwei Kong · Walid Krichene · Nicolas E Mayoraz · Steffen Rendle · Li Zhang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #1
Field-wise Learning for Multi-field Categorical Data
Zhibin Li · jian zhang · Yongshun Gong · Yazhou Yao · Qiang Wu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #2
Deep Diffusion-Invariant Wasserstein Distributional Classification
Sung Woo Park · Dong Wook Shu · Junseok Kwon
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #3
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
Nimit Sohoni · Jared Dunnmon · Geoffrey Angus · Albert Gu · Christopher Ré
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #4
Efficient Clustering Based On A Unified View Of K-means And Ratio-cut
Shenfei Pei · Feiping Nie · Rong Wang · Xuelong Li
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #5
Probabilistic Fair Clustering
Seyed Esmaeili · Brian Brubach · Leonidas Tsepenekas · John Dickerson
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #6
Sampling-Decomposable Generative Adversarial Recommender
Binbin Jin · Defu Lian · Zheng Liu · Qi Liu · Jianhui Ma · Xing Xie · Enhong Chen
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #7
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering
Long Chen · Yuan Yao · Feng Xu · Miao Xu · Hanghang Tong
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #8
Ratio Trace Formulation of Wasserstein Discriminant Analysis
Hexuan Liu · Yunfeng Cai · You-Lin Chen · Ping Li
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #9
Coresets for Regressions with Panel Data
Lingxiao Huang · K Sudhir · Nisheeth Vishnoi
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #10
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
Yingjie Wang · Hong Chen · Feng Zheng · Chen Xu · Tieliang Gong · Yanhong Chen
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #11
Adversarial Learning for Robust Deep Clustering
Xu Yang · Cheng Deng · Kun Wei · Junchi Yan · Wei Liu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #12
Adversarial Counterfactual Learning and Evaluation for Recommender System
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #13
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
Qianqian Ma · Alex Olshevsky
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #14
Interventional Few-Shot Learning
Zhongqi Yue · Hanwang Zhang · Qianru Sun · Xian-Sheng Hua
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #15
Neural Methods for Point-wise Dependency Estimation
Yao-Hung Hubert Tsai · Han Zhao · Makoto Yamada · Louis-Philippe Morency · Russ Salakhutdinov
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #16
Multi-label Contrastive Predictive Coding
Jiaming Song · Stefano Ermon
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #17
Self-Supervised Relationship Probing
Jiuxiang Gu · Jason Kuen · Shafiq Joty · Jianfei Cai · Vlad I. Morariu · Handong Zhao · Tong Sun
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #18
Debiased Contrastive Learning
Ching-Yao Chuang · Joshua Robinson · Yen-Chen Lin · Antonio Torralba · Stefanie Jegelka
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #19
The Autoencoding Variational Autoencoder
Taylan Cemgil · Sumedh Ghaisas · Krishnamurthy Dvijotham · Sven Gowal · Pushmeet Kohli
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #20
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu · Kwan Ho Ryan Chan · Chong You · Chaobing Song · Yi Ma
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #21
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie · Zihang Dai · Eduard Hovy · Thang Luong · Quoc V Le
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #22
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Uchenna Akujuobi · Jun Chen · Mohamed Elhoseiny · Michael Spranger · Xiangliang Zhang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #23
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis · Mert Bulent Sariyildiz · Noe Pion · Philippe Weinzaepfel · Diane Larlus
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #24
Parametric Instance Classification for Unsupervised Visual Feature learning
Yue Cao · Zhenda Xie · Bin Liu · Yutong Lin · Zheng Zhang · Han Hu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #25
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
Jinsung Yoon · Yao Zhang · James Jordon · Mihaela van der Schaar
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #26
Unsupervised Representation Learning by Invariance Propagation
Feng Wang · Huaping Liu · Di Guo · Sun Fuchun
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #27
Joint Contrastive Learning with Infinite Possibilities
Qi Cai · Yu Wang · Yingwei Pan · Ting Yao · Tao Mei
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #28
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
Pantelis Elinas · Edwin Bonilla · Louis Tiao
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #29
Restoring Negative Information in Few-Shot Object Detection
Yukuan Yang · Fangyun Wei · Miaojing Shi · Guoqi Li
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #30
One-sample Guided Object Representation Disassembling
Zunlei Feng · Yongming He · Xinchao Wang · Xin Gao · Jie Lei · Cheng Jin · Mingli Song
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #31
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning
Youngsung Kim · Jinwoo Shin · Eunho Yang · Sung Ju Hwang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Heejong Bong · Zongge Liu · Zhao Ren · Matthew Smith · Valerie Ventura · Robert E Kass
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #33
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
Hamid Jalalzai · Pierre Colombo · Chloé Clavel · Eric Gaussier · Giovanna Varni · Emmanuel Vignon · Anne Sabourin
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #34
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo Guo · Zeqi Lin · Jian-Guang Lou · Dongmei Zhang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #35
Strongly Incremental Constituency Parsing with Graph Neural Networks
Kaiyu Yang · Jia Deng
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #36
A Simple Language Model for Task-Oriented Dialogue
Ehsan Hosseini-Asl · Bryan McCann · Chien-Sheng Wu · Semih Yavuz · Richard Socher
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #37
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari · Xingdi Yuan · Marc-Alexandre Côté · Mikuláš Zelinka · Marc-Antoine Rondeau · Romain Laroche · Pascal Poupart · Jian Tang · Adam Trischler · Will Hamilton
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #38
Incorporating Pragmatic Reasoning Communication into Emergent Language
Yipeng Kang · Tonghan Wang · Gerard de Melo
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #39
Learning Strategic Network Emergence Games
Rakshit Trivedi · Hongyuan Zha
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #40
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Chuan Wen · Jierui Lin · Trevor Darrell · Dinesh Jayaraman · Yang Gao
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #41
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation
Isabella Pozzi · Sander Bohte · Pieter Roelfsema
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #42
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks
Yuhang Song · Thomas Lukasiewicz · Zhenghua Xu · Rafal Bogacz
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #43
Demixed shared component analysis of neural population data from multiple brain areas
Yu Takagi · Steven Kennerley · Jun-ichiro Hirayama · Laurence T Hunt
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #44
Neural encoding with visual attention
Meenakshi Khosla · Gia Ngo · Keith Jamison · Amy Kuceyeski · Mert Sabuncu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #45
On Numerosity of Deep Neural Networks
Xi Zhang · Xiaolin Wu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #46
Compact task representations as a normative model for higher-order brain activity
Severin Berger · Christian Machens
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #47
Using noise to probe recurrent neural network structure and prune synapses
Eli Moore · Rishidev Chaudhuri
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #48
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
Siddharth Desai · Ishan Durugkar · Haresh Karnan · Garrett Warnell · Josiah Hanna · Peter Stone
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #49
Language Models are Few-Shot Learners
Tom B Brown · Benjamin Mann · Nick Ryder · Melanie Subbiah · Jared Kaplan · Prafulla Dhariwal · Arvind Neelakantan · Pranav Shyam · Girish Sastry · Amanda Askell · Sandhini Agarwal · Ariel Herbert-Voss · Gretchen M Krueger · Tom Henighan · Rewon Child · Aditya Ramesh · Daniel Ziegler · Jeffrey Wu · Clemens Winter · Chris Hesse · Mark Chen · Eric Sigler · Mateusz Litwin · Scott Gray · Benjamin Chess · Jack Clark · Christopher Berner · Sam McCandlish · Alec Radford · Ilya Sutskever · Dario Amodei
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #50
Incorporating BERT into Parallel Sequence Decoding with Adapters
Junliang Guo · Zhirui Zhang · Linli Xu · Hao-Ran Wei · Boxing Chen · Enhong Chen
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #51
CogLTX: Applying BERT to Long Texts
Ming Ding · Chang Zhou · Hongxia Yang · Jie Tang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #52
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song · Xu Tan · Tao Qin · Jianfeng Lu · Tie-Yan Liu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #53
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang · Furu Wei · Li Dong · Hangbo Bao · Nan Yang · Ming Zhou
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #54
Towards Neural Programming Interfaces
Zachary Brown · Nathaniel Robinson · David Wingate · Nancy Fulda
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #55
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
Alex Tamkin · Dan Jurafsky · Noah Goodman
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #56
ColdGANs: Taming Language GANs with Cautious Sampling Strategies
Thomas Scialom · Paul-Alexis Dray · Sylvain Lamprier · Benjamin Piwowarski · Jacopo Staiano
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #57
ConvBERT: Improving BERT with Span-based Dynamic Convolution
Zi-Hang Jiang · Weihao Yu · Daquan Zhou · Yunpeng Chen · Jiashi Feng · Shuicheng Yan
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #58
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
Jesse Vig · Sebastian Gehrmann · Yonatan Belinkov · Sharon Qian · Daniel Nevo · Yaron Singer · Stuart Shieber
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #59
Cross-lingual Retrieval for Iterative Self-Supervised Training
Chau Tran · Yuqing Tang · Xian Li · Jiatao Gu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #60
DynaBERT: Dynamic BERT with Adaptive Width and Depth
Lu Hou · Zhiqi Huang · Lifeng Shang · Xin Jiang · Xiao Chen · Qun Liu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #62
Pre-training via Paraphrasing
Mike Lewis · Marjan Ghazvininejad · Gargi Ghosh · Armen Aghajanyan · Sida Wang · Luke Zettlemoyer
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #63
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data
Michael Cogswell · Jiasen Lu · Rishabh Jain · Stefan Lee · Devi Parikh · Dhruv Batra
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #64
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai · Guokun Lai · Yiming Yang · Quoc V Le
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #65
Big Bird: Transformers for Longer Sequences
Manzil Zaheer · Guru Guruganesh · Kumar Avinava Dubey · Joshua Ainslie · Chris Alberti · Santiago Ontanon · Philip Pham · Anirudh Ravula · Qifan Wang · Li Yang · Amr Ahmed
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #66
Self-Supervised Generative Adversarial Compression
Chong Yu · Jeff Pool
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #67
The Generalized Lasso with Nonlinear Observations and Generative Priors
Zhaoqiang Liu · Jonathan Scarlett
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #68
Robust compressed sensing using generative models
Ajil Jalal · Liu Liu · Alex Dimakis · Constantine Caramanis
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #69
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
Guangda Ji · Zhanxing Zhu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #70
Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik Dzanic · Karan Shah · Freddie Witherden
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #71
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
Zijun Gao · Yanjun Han
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #72
Towards a Combinatorial Characterization of Bounded-Memory Learning
Alon Gonen · Shachar Lovett · Michal Moshkovitz
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #73
The Power of Comparisons for Actively Learning Linear Classifiers
Max Hopkins · Daniel Kane · Shachar Lovett
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #74
Estimating decision tree learnability with polylogarithmic sample complexity
Guy Blanc · Neha Gupta · Jane Lange · Li-Yang Tan
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #75
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach
Luofeng Liao · You-Lin Chen · Zhuoran Yang · Bo Dai · Mladen Kolar · Zhaoran Wang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #76
Matrix Inference and Estimation in Multi-Layer Models
Parthe Pandit · Mojtaba Sahraee Ardakan · Sundeep Rangan · Philip Schniter · Alyson Fletcher
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #77
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Jy-yong Sohn · Dong-Jun Han · Beongjun Choi · Jaekyun Moon
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #78
Limits on Testing Structural Changes in Ising Models
Aditya Gangrade · Bobak Nazer · Venkatesh Saligrama
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #79
A Robust Functional EM Algorithm for Incomplete Panel Count Data
Alexander Moreno · Zhenke Wu · Jamie Roslyn Yap · Cho Lam · David Wetter · Inbal Nahum-Shani · Walter Dempsey · James Rehg
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #80
Weston-Watkins Hinge Loss and Ordered Partitions
Yutong Wang · Clayton Scott
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #81
On the Equivalence between Online and Private Learnability beyond Binary Classification
Young H Jung · Baekjin Kim · Ambuj Tewari
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #82
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li · Yuting Wei · Yuejie Chi · Yuantao Gu · Yuxin Chen
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #84
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods
Yue Wu · Weitong ZHANG · Pan Xu · Quanquan Gu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #85
Reinforcement Learning for Control with Multiple Frequencies
Jongmin Lee · Byung-Jun Lee · Kee-Eung Kim
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #86
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
Guangxiang Zhu · Minghao Zhang · Honglak Lee · Chongjie Zhang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #87
First Order Constrained Optimization in Policy Space
Yiming Zhang · Quan Vuong · Keith Ross
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #88
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
Aviral Kumar · Abhishek Gupta · Sergey Levine
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #89
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes
Dongsheng Ding · Kaiqing Zhang · Tamer Basar · Mihailo Jovanovic
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #90
MOPO: Model-based Offline Policy Optimization
Tianhe Yu · Garrett Thomas · Lantao Yu · Stefano Ermon · James Zou · Sergey Levine · Chelsea Finn · Tengyu Ma
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #91
Trust the Model When It Is Confident: Masked Model-based Actor-Critic
Feiyang Pan · Jia He · Dandan Tu · Qing He
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #92
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Stephen McAleer · JB Lanier · Roy Fox · Pierre Baldi
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #93
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
Kaiqing Zhang · Sham Kakade · Tamer Basar · Lin Yang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #94
MOReL: Model-Based Offline Reinforcement Learning
Rahul Kidambi · Aravind Rajeswaran · Praneeth Netrapalli · Thorsten Joachims
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #95
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
Shaocong Ma · Yi Zhou · Shaofeng Zou
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #96
Independent Policy Gradient Methods for Competitive Reinforcement Learning
Constantinos Daskalakis · Dylan Foster · Noah Golowich
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #97
Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu · Adith Swaminathan · Alekh Agarwal · Emma Brunskill
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #98
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
Alexander Levine · Soheil Feizi
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #99
Contrastive Learning with Adversarial Examples
Chih-Hui Ho · Nuno Nvasconcelos
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #100
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Qijian Zhang · Runmin Cong · Junhui Hou · Chongyi Li · Yao Zhao
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #101
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Jaehyeon Kim · Sungwon Kim · Jungil Kong · Sungroh Yoon
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #102
The Cone of Silence: Speech Separation by Localization
Teerapat Jenrungrot · Vivek Jayaram · Steve Seitz · Ira Kemelmacher-Shlizerman
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #103
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong · Jaehyeon Kim · Jaekyoung Bae
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #105
Swapping Autoencoder for Deep Image Manipulation
Taesung Park · Jun-Yan Zhu · Oliver Wang · Jingwan Lu · Eli Shechtman · Alexei Efros · Richard Zhang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #106
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond
Wenbo Li · Kun Zhou · Lu Qi · Nianjuan Jiang · Jiangbo Lu · Jiaya Jia
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #107
Domain Generalization via Entropy Regularization
Shanshan Zhao · Mingming Gong · Tongliang Liu · Huan Fu · Dacheng Tao
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #108
Self-Supervised Few-Shot Learning on Point Clouds
Charu Sharma · Manohar Kaul
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #109
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Alexandre Carlier · Martin Danelljan · Alexandre Alahi · Radu Timofte
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #110
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
Yuanbiao Gou · Boyun Li · Zitao Liu · Songfan Yang · Xi Peng
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #111
Language and Visual Entity Relationship Graph for Agent Navigation
Yicong Hong · Cristian Rodriguez · Yuankai Qi · Qi Wu · Stephen Gould
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #112
Fast Fourier Convolution
Lu Chi · Borui Jiang · Yadong Mu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #113
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
Joel Dapello · Tiago Marques · Martin Schrimpf · Franziska Geiger · David Cox · James J DiCarlo
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #114
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
Yingxiang Yang · Negar Kiyavash · Le Song · Niao He
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #115
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #116
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Chencheng Xu · Qiao Liu · Minlie Huang · Tao Jiang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #117
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Xin Liu · Josh Fromm · Shwetak Patel · Daniel McDuff
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #118
MRI Banding Removal via Adversarial Training
Aaron Defazio · Tullie Murrell · Michael Recht
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #119
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction
Yuan Xue · Nan Du · Anne Mottram · Martin Seneviratne · Andrew Dai
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #120
Interpretable Sequence Learning for Covid-19 Forecasting
Sercan Arik · Chun-Liang Li · Jinsung Yoon · Rajarishi Sinha · Arkady Epshteyn · Long Le · Vikas Menon · Shashank Singh · Leyou Zhang · Martin Nikoltchev · Yash Sonthalia · Hootan Nakhost · Elli Kanal · Tomas Pfister
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #121
Adversarial Attacks on Deep Graph Matching
Zijie Zhang · Zeru Zhang · Yang Zhou · Yelong Shen · Ruoming Jin · Dejing Dou
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #122
Adversarial Sparse Transformer for Time Series Forecasting
Sifan Wu · Xi Xiao · Qianggang Ding · Peilin Zhao · Ying Wei · Junzhou Huang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #123
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
Yusuke Tashiro · Yang Song · Stefano Ermon
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #124
Input-Aware Dynamic Backdoor Attack
Tuan Anh Nguyen · Anh Tran
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #125
Understanding Global Feature Contributions With Additive Importance Measures
Ian Covert · Scott Lundberg · Su-In Lee
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #126
Improving Policy-Constrained Kidney Exchange via Pre-Screening
Duncan McElfresh · Michael Curry · Tuomas Sandholm · John Dickerson
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #127
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng YANG · Yangzhou Jiang · Xiaoyang Huang · Bingbing Ni · Chenglong Zhao
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #128
De-Anonymizing Text by Fingerprinting Language Generation
Zhen Sun · Roei Schuster · Vitaly Shmatikov
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #129
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren · Jure Leskovec
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #130
Design Space for Graph Neural Networks
Jiaxuan You · Zhitao Ying · Jure Leskovec
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #131
Learning Physical Graph Representations from Visual Scenes
Daniel Bear · Chaofei Fan · Damian Mrowca · Yunzhu Li · Seth Alter · Aran Nayebi · Jeremy Schwartz · Li Fei-Fei · Jiajun Wu · Josh Tenenbaum · Daniel Yamins
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #132
Equivariant Networks for Hierarchical Structures
Renhao Wang · Marjan Albooyeh · Siamak Ravanbakhsh
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #133
ARMA Nets: Expanding Receptive Field for Dense Prediction
Jiahao Su · Shiqi Wang · Furong Huang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #134
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning
Jianda Chen · Shangyu Chen · Sinno Jialin Pan
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #135
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
Yihong Gu · Weizhong Zhang · Cong Fang · Jason Lee · Tong Zhang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #136
Towards Learning Convolutions from Scratch
Behnam Neyshabur
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #137
Bayesian Attention Modules
Xinjie Fan · Shujian Zhang · Bo Chen · Mingyuan Zhou
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #138
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Hu Liu · Jing LU · Xiwei Zhao · Sulong Xu · Hao Peng · Yutong Liu · Zehua Zhang · Jian Li · Junsheng Jin · Yongjun Bao · Weipeng Yan
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #139
Understanding and Exploring the Network with Stochastic Architectures
Zhijie Deng · Yinpeng Dong · Shifeng Zhang · Jun Zhu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #140
Neuron Merging: Compensating for Pruned Neurons
Woojeong Kim · Suhyun Kim · Mincheol Park · Geunseok Jeon
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #141
Position-based Scaled Gradient for Model Quantization and Pruning
Jangho Kim · KiYoon Yoo · Nojun Kwak
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #142
ShiftAddNet: A Hardware-Inspired Deep Network
Haoran You · Xiaohan Chen · Yongan Zhang · Chaojian Li · Sicheng Li · Zihao Liu · Zhangyang Wang · Yingyan Lin
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #143
Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka · Daniel Kunin · Daniel Yamins · Surya Ganguli
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #144
Attribution Preservation in Network Compression for Reliable Network Interpretation
Geondo Park · June Yong Yang · Sung Ju Hwang · Eunho Yang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #145
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration
Cédric Colas · Tristan Karch · Nicolas Lair · Jean-Michel Dussoux · Clément Moulin-Frier · Peter F Dominey · Pierre-Yves Oudeyer
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #146
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Kyunghyun Lee · Byeong-Uk Lee · Ukcheol Shin · In So Kweon
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #147
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
Jianzhun Du · Joseph Futoma · Finale Doshi-Velez
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #148
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
Tongzhou Mu · Jiayuan Gu · Zhiwei Jia · Hao Tang · Hao Su
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #149
Cooperative Heterogeneous Deep Reinforcement Learning
Han Zheng · Pengfei Wei · Jing Jiang · Guodong Long · Qinghua Lu · Chengqi Zhang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #150
The Mean-Squared Error of Double Q-Learning
Wentao Weng · Harsh Gupta · Niao He · Lei Ying · R. Srikant
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #151
Novelty Search in Representational Space for Sample Efficient Exploration
Ruo Yu Tao · Vincent Francois-Lavet · Joelle Pineau
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #152
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
Meng Zhou · Ken Liu · Pengwei Sui · Yixuan Li · Yuk Ying Chung
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #153
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
Gang Wang · Songtao Lu · Georgios Giannakis · Gerald Tesauro · Jian Sun
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #154
Robust Multi-Agent Reinforcement Learning with Model Uncertainty
Kaiqing Zhang · TAO SUN · Yunzhe Tao · Sahika Genc · Sunil Mallya · Tamer Basar
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #155
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
Fan Yang · Alina Vereshchaka · Changyou Chen · Wen Dong
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #156
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis · Natasha Jaques · Eugene Vinitsky · Alexandre Bayen · Stuart Russell · Andrew Critch · Sergey Levine
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #157
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Minhae Kwon · Saurabh Daptardar · Paul R Schrater · Xaq Pitkow
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #158
Safe Reinforcement Learning via Curriculum Induction
Matteo Turchetta · Andrey Kolobov · Shital Shah · Andreas Krause · Alekh Agarwal
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #159
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems
Kaiqing Zhang · Bin Hu · Tamer Basar
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #160
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li · Yuting Wei · Yuejie Chi · Yuantao Gu · Yuxin Chen
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #161
Off-Policy Evaluation via the Regularized Lagrangian
Mengjiao (Sherry) Yang · Ofir Nachum · Bo Dai · Lihong Li · Dale Schuurmans
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #162
Dynamic Regret of Policy Optimization in Non-Stationary Environments
Yingjie Fei · Zhuoran Yang · Zhaoran Wang · Qiaomin Xie
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #163
Constrained episodic reinforcement learning in concave-convex and knapsack settings
Kianté Brantley · Miro Dudik · Thodoris Lykouris · Sobhan Miryoosefi · Max Simchowitz · Aleksandrs Slivkins · Wen Sun
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #164
Off-Policy Interval Estimation with Lipschitz Value Iteration
Ziyang Tang · Yihao Feng · Na Zhang · Jian Peng · Qiang Liu
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #165
CoinDICE: Off-Policy Confidence Interval Estimation
Bo Dai · Ofir Nachum · Yinlam Chow · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #166
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
Yingjie Fei · Zhuoran Yang · Yudong Chen · Zhaoran Wang · Qiaomin Xie
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #167
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
Ruosong Wang · Russ Salakhutdinov · Lin Yang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #168
Task-agnostic Exploration in Reinforcement Learning
Xuezhou Zhang · Yuzhe Ma · Adish Singla
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #169
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #170
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces
Zhuoran Yang · Chi Jin · Zhaoran Wang · Mengdi Wang · Michael Jordan
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #171
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
Shuang Qiu · Xiaohan Wei · Zhuoran Yang · Jieping Ye · Zhaoran Wang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #172
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization
Nan Jiang · Jiawei Huang
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #173
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
Sahin Lale · Kamyar Azizzadenesheli · Babak Hassibi · Anima Anandkumar
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #174
The Power of Predictions in Online Control
Chenkai Yu · Guanya Shi · Soon-Jo Chung · Yisong Yue · Adam Wierman
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #570
Information Theoretic Regret Bounds for Online Nonlinear Control
Sham Kakade · Akshay Krishnamurthy · Kendall Lowrey · Motoya Ohnishi · Wen Sun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #61
Latent Template Induction with Gumbel-CRFs
Yao Fu · Chuanqi Tan · Bin Bi · Mosha Chen · Yansong Feng · Alexander Rush
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #175
Federated Principal Component Analysis
Andreas Grammenos · Rodrigo Mendoza Smith · Jon Crowcroft · Cecilia Mascolo
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #176
Learning Differential Equations that are Easy to Solve
Jacob Kelly · Jesse Bettencourt · Matthew Johnson · David Duvenaud
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #177
Learning Rich Rankings
Arjun Seshadri · Stephen Ragain · Johan Ugander
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #178
Self-supervised Co-Training for Video Representation Learning
Tengda Han · Weidi Xie · Andrew Zisserman
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #179
Prophet Attention: Predicting Attention with Future Attention
Fenglin Liu · Xuancheng Ren · Xian Wu · Shen Ge · Wei Fan · Yuexian Zou · Xu Sun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #180
Audeo: Audio Generation for a Silent Performance Video
Kun Su · Xiulong Liu · Eli Shlizerman
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #181
Cascaded Text Generation with Markov Transformers
Yuntian Deng · Alexander Rush
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #182
All Word Embeddings from One Embedding
Sho Takase · Sosuke Kobayashi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #183
Data Diversification: A Simple Strategy For Neural Machine Translation
Xuan-Phi Nguyen · Shafiq Joty · Kui Wu · Ai Ti Aw
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #184
Learning Sparse Prototypes for Text Generation
Junxian He · Taylor Berg-Kirkpatrick · Graham Neubig
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #185
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
Mehdi Rezaee · Francis Ferraro
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #186
AViD Dataset: Anonymized Videos from Diverse Countries
AJ Piergiovanni · Michael S Ryoo
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #187
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
Jiahao Su · Wonmin Byeon · Jean Kossaifi · Furong Huang · Jan Kautz · Anima Anandkumar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #189
End-to-End Learning and Intervention in Games
Jiayang Li · Jing Yu · Yu Nie · Zhaoran Wang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #190
Cross-validation Confidence Intervals for Test Error
Pierre Bayle · Alexandre Bayle · Lucas Janson · Lester Mackey
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #191
Learning Robust Decision Policies from Observational Data
Muhammad Osama · Dave Zachariah · Peter Stoica
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #192
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #193
Self-Imitation Learning via Generalized Lower Bound Q-learning
Yunhao Tang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #194
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
Yanli Liu · Kaiqing Zhang · Tamer Basar · Wotao Yin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #195
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar · Aviral Kumar · Sergey Levine · Chelsea Finn
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #196
An operator view of policy gradient methods
Dibya Ghosh · Marlos C. Machado · Nicolas Le Roux
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #197
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
Parameswaran Kamalaruban · Yu-Ting Huang · Ya-Ping Hsieh · Paul Rolland · Cheng Shi · Volkan Cevher
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #198
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
Tengyu Xu · Zhe Wang · Yingbin Liang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #199
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
Pierluca D'Oro · Wojciech Jaśkowski
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #200
The Value Equivalence Principle for Model-Based Reinforcement Learning
Christopher Grimm · Andre Barreto · Satinder Singh · David Silver
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #201
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
Nathan Kallus · Masatoshi Uehara
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #202
Neurosymbolic Reinforcement Learning with Formally Verified Exploration
Greg Anderson · Abhinav Verma · Isil Dillig · Swarat Chaudhuri
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #203
Near-Optimal Reinforcement Learning with Self-Play
Yu Bai · Chi Jin · Tiancheng Yu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #204
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
Junyu Zhang · Alec Koppel · Amrit Singh Bedi · Csaba Szepesvari · Mengdi Wang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #205
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
Alekh Agarwal · Mikael Henaff · Sham Kakade · Wen Sun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #206
Deep Multimodal Fusion by Channel Exchanging
Yikai Wang · Wenbing Huang · Fuchun Sun · Tingyang Xu · Yu Rong · Junzhou Huang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #207
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado · Yi Li · Nuno Nvasconcelos
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #208
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
Zijun Cui · Tengfei Song · Yuru Wang · Qiang Ji
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #209
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang · Hanwang Zhang · Jinhui Tang · Xian-Sheng Hua · Qianru Sun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #210
Generative View Synthesis: From Single-view Semantics to Novel-view Images
Tewodros Amberbir Habtegebrial · Varun Jampani · Orazio Gallo · Didier Stricker
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #211
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki Asano · Mandela Patrick · Christian Rupprecht · Andrea Vedaldi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #212
Unfolding the Alternating Optimization for Blind Super Resolution
zhengxiong luo · Yan Huang · Shang Li · Liang Wang · Tieniu Tan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #213
Video Frame Interpolation without Temporal Priors
Youjian Zhang · Chaoyue Wang · Dacheng Tao
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #214
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
Yuxi Li · Ning Xu · Jinlong Peng · John See · Weiyao Lin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #215
Color Visual Illusions: A Statistics-based Computational Model
Elad Hirsch · Ayellet Tal
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #216
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
Kemal Oksuz · Baris Can Cam · Emre Akbas · Sinan Kalkan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #217
Make One-Shot Video Object Segmentation Efficient Again
Tim Meinhardt · Laura Leal-Taixé
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #218
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
peiyao wang · Weixin Luo · Yanyu Xu · Haojie Li · Shugong Xu · Jianyu Yang · Shenghua Gao
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #219
Multi-Plane Program Induction with 3D Box Priors
Yikai Li · Jiayuan Mao · Xiuming Zhang · Bill Freeman · Josh Tenenbaum · Noah Snavely · Jiajun Wu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #220
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sebastien Ehrhardt · Oliver Groth · Aron Monszpart · Martin Engelcke · Ingmar Posner · Niloy Mitra · Andrea Vedaldi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #221
Unsupervised object-centric video generation and decomposition in 3D
Paul Henderson · Christoph Lampert
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #222
Dissecting Neural ODEs
Stefano Massaroli · Michael Poli · Jinkyoo Park · Atsushi Yamashita · Hajime Asama
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #223
On ranking via sorting by estimated expected utility
Clement Calauzenes · Nicolas Usunier
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #224
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
Constantinos Daskalakis · Dhruv Rohatgi · Emmanouil Zampetakis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #225
Model Interpretability through the Lens of Computational Complexity
Pablo Barceló · Mikaël Monet · Jorge Pérez · Bernardo Subercaseaux
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #226
Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity
Simon Du · Jason Lee · Gaurav Mahajan · Ruosong Wang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #227
Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab · Tim Roughgarden · Abhishek Shetty
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #228
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Nikos Zarifis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #229
Hardness of Learning Neural Networks with Natural Weights
Amit Daniely · Gal Vardi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #230
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
Sitan Chen · Frederic Koehler · Ankur Moitra · Morris Yau
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #231
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
Ilias Diakonikolas · Daniel M. Kane · Pasin Manurangsi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #232
The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky · Anton Zhevnerchuk
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #233
A Dynamical Central Limit Theorem for Shallow Neural Networks
Zhengdao Chen · Grant Rotskoff · Joan Bruna · Eric Vanden-Eijnden
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #234
Learning Bounds for Risk-sensitive Learning
Jaeho Lee · Sejun Park · Jinwoo Shin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #235
Agnostic Learning of a Single Neuron with Gradient Descent
Spencer Frei · Yuan Cao · Quanquan Gu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #236
Information theoretic limits of learning a sparse rule
Clément Luneau · jean barbier · Nicolas Macris
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #237
From Finite to Countable-Armed Bandits
Anand Kalvit · Assaf Zeevi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #238
Optimal Best-arm Identification in Linear Bandits
Yassir Jedra · Alexandre Proutiere
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #239
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang · Longbo Huang · John C. S. Lui
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #240
Finite Continuum-Armed Bandits
Solenne Gaucher
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #241
Adversarial Blocking Bandits
Nicholas Bishop · Hau Chan · Debmalya Mandal · Long Tran-Thanh
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #242
Inference for Batched Bandits
Kelly Zhang · Lucas Janson · Susan Murphy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #243
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
Arun Verma · Manjesh Kumar Hanawal · Csaba Szepesvari · Venkatesh Saligrama
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #244
Adversarial Attacks on Linear Contextual Bandits
Evrard Garcelon · Baptiste Roziere · Laurent Meunier · Jean Tarbouriech · Olivier Teytaud · Alessandro Lazaric · Matteo Pirotta
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #245
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
Kwang-Sung Jun · Chicheng Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #246
Finding All $\epsilon$-Good Arms in Stochastic Bandits
Blake Mason · Lalit Jain · Ardhendu Tripathy · Robert Nowak
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #247
An Optimal Elimination Algorithm for Learning a Best Arm
Avinatan Hassidim · Ron Kupfer · Yaron Singer
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #248
Instance-wise Feature Grouping
Aria Masoomi · Chieh T Wu · Tingting Zhao · Zifeng Wang · Peter Castaldi · Jennifer Dy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #249
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
Weichao Mao · Kaiqing Zhang · Qiaomin Xie · Tamer Basar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #250
Online Planning with Lookahead Policies
Yonathan Efroni · Mohammad Ghavamzadeh · Shie Mannor
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #251
Escaping the Gravitational Pull of Softmax
Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #252
Online Bayesian Persuasion
Matteo Castiglioni · Andrea Celli · Alberto Marchesi · Nicola Gatti
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #253
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering
Elfarouk Harb · Ho Shan Lam
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #254
CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas · Yihe Dong · Gautam Kamath · Jonathan Ullman
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #255
Auditing Differentially Private Machine Learning: How Private is Private SGD?
Matthew Jagielski · Jonathan Ullman · Alina Oprea
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #256
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity
Haim Kaplan · Yishay Mansour · Uri Stemmer · Eliad Tsfadia
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #257
Smoothly Bounding User Contributions in Differential Privacy
Alessandro Epasto · Mohammad Mahdian · Jieming Mao · Vahab Mirrokni · Lijie Ren
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #258
Learning from Mixtures of Private and Public Populations
Raef Bassily · Shay Moran · Anupama Nandi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #259
A Computational Separation between Private Learning and Online Learning
Mark Bun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #260
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
Hilal Asi · John Duchi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #261
Improving Sparse Vector Technique with Renyi Differential Privacy
Yuqing Zhu · Yu-Xiang Wang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #262
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen · Tribhuvanesh Orekondy · Mario Fritz
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #263
Private Identity Testing for High-Dimensional Distributions
Clément L Canonne · Gautam Kamath · Audra McMillan · Jonathan Ullman · Lydia Zakynthinou
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #264
Optimal Private Median Estimation under Minimal Distributional Assumptions
Christos Tzamos · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Ilias Zadik
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #265
Learning discrete distributions: user vs item-level privacy
Yuhan Liu · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Michael D Riley
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #266
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
Thomas Berrett · Cristina Butucea
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #267
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
Steven Jecmen · Hanrui Zhang · Ryan Liu · Nihar Shah · Vincent Conitzer · Fei Fang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #268
Phase retrieval in high dimensions: Statistical and computational phase transitions
Antoine Maillard · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #269
Higher-Order Spectral Clustering of Directed Graphs
Steinar Laenen · He Sun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #270
Deep Transformation-Invariant Clustering
Tom Monnier · Thibault Groueix · Mathieu Aubry
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #271
Faster DBSCAN via subsampled similarity queries
Heinrich Jiang · Jennifer Jang · Jakub Lacki
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #272
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Ines Chami · Albert Gu · Vaggos Chatziafratis · Christopher Ré
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #273
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Meng Liu · David Gleich
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #274
Exact Recovery of Mangled Clusters with Same-Cluster Queries
Marco Bressan · Nicolò Cesa-Bianchi · Silvio Lattanzi · Andrea Paudice
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #275
Simple and Scalable Sparse k-means Clustering via Feature Ranking
Zhiyue Zhang · Kenneth Lange · Jason Xu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #276
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang · Yuling Yan · Mateo Diaz
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #277
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
Lorenzo Dall'Amico · Romain Couillet · Nicolas Tremblay
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #278
Classification with Valid and Adaptive Coverage
Yaniv Romano · Matteo Sesia · Emmanuel Candes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #279
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel · Dhruv Mahajan · Bruno Korbar · Lorenzo Torresani · Bernard Ghanem · Du Tran
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #280
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
Yurun Tian · Axel Barroso Laguna · Tony Ng · Vassileios Balntas · Krystian Mikolajczyk
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #281
Distributionally Robust Local Non-parametric Conditional Estimation
Viet Anh Nguyen · Fan Zhang · Jose Blanchet · Erick Delage · Yinyu Ye
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #282
Differentially Private Clustering: Tight Approximation Ratios
Badih Ghazi · Ravi Kumar · Pasin Manurangsi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #283
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
Arun Ganesh · Kunal Talwar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #284
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes
Salman Habib · Allison Beemer · Joerg Kliewer
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #285
Non-Euclidean Universal Approximation
Anastasis Kratsios · Ievgen Bilokopytov
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #286
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression
Sidak Pal Singh · Dan Alistarh
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #287
Deep Transformers with Latent Depth
Xian Li · Asa Cooper Stickland · Yuqing Tang · Xiang Kong
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #288
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh · Thomas Wolf · Alexander Rush
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #289
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su · Yihang Chen · Tianle Cai · Tianhao Wu · Ruiqi Gao · Liwei Wang · Jason Lee
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #290
Pruning Filter in Filter
Fanxu Meng · Hao Cheng · Ke Li · Huixiang Luo · Xiaowei Guo · Guangming Lu · Xing Sun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #292
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen · Jonathan Frankle · Shiyu Chang · Sijia Liu · Yang Zhang · Zhangyang Wang · Michael Carbin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #293
The Generalization-Stability Tradeoff In Neural Network Pruning
Brian Bartoldson · Ari Morcos · Adrian Barbu · Gordon Erlebacher
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #294
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
Mao Ye · Lemeng Wu · Qiang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #295
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
Lemeng Wu · Bo Liu · Peter Stone · Qiang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #296
HYDRA: Pruning Adversarially Robust Neural Networks
Vikash Sehwag · Shiqi Wang · Prateek Mittal · Suman Jana
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #297
Logarithmic Pruning is All You Need
Laurent Orseau · Marcus Hutter · Omar Rivasplata
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #299
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
Ankit Pensia · Shashank Rajput · Alliot Nagle · Harit Vishwakarma · Dimitris Papailiopoulos
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #300
Higher-Order Certification For Randomized Smoothing
Jeet Mohapatra · Ching-Yun Ko · Tsui-Wei Weng · Pin-Yu Chen · Sijia Liu · Luca Daniel
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #301
Adversarial robustness via robust low rank representations
Pranjal Awasthi · Himanshu Jain · Ankit Singh Rawat · Aravindan Vijayaraghavan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #302
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Hadi Salman · Mingjie Sun · Greg Yang · Ashish Kapoor · J. Zico Kolter
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #303
Margins are Insufficient for Explaining Gradient Boosting
Allan Grønlund · Lior Kamma · Kasper Green Larsen
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #304
On the Power of Louvain in the Stochastic Block Model
Vincent Cohen-Addad · Adrian Kosowski · Frederik Mallmann-Trenn · David Saulpic
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #305
Robust large-margin learning in hyperbolic space
Melanie Weber · Manzil Zaheer · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #306
Self-Learning Transformations for Improving Gaze and Head Redirection
Yufeng Zheng · Seonwook Park · Xucong Zhang · Shalini De Mello · Otmar Hilliges
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #307
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Matt Jordan · Alex Dimakis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #308
Optimizing Mode Connectivity via Neuron Alignment
Norman J Tatro · Pin-Yu Chen · Payel Das · Igor Melnyk · Prasanna Sattigeri · Rongjie Lai
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #309
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh · Jichan Chung · Dong Yin · Kannan Ramchandran
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #310
On the distance between two neural networks and the stability of learning
Jeremy Bernstein · Arash Vahdat · Yisong Yue · Ming-Yu Liu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #311
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
Heng Yang · Luca Carlone
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #312
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
Wenhao Luo · Wen Sun · Ashish Kapoor
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #313
Consequences of Misaligned AI
Simon Zhuang · Dylan Hadfield-Menell
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #314
Certified Defense to Image Transformations via Randomized Smoothing
Marc Fischer · Maximilian Baader · Martin Vechev
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #315
Certifying Strategyproof Auction Networks
Michael Curry · Ping-yeh Chiang · Tom Goldstein · John Dickerson
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #316
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
Sumanth Dathathri · Krishnamurthy Dvijotham · Alexey Kurakin · Aditi Raghunathan · Jonathan Uesato · Rudy Bunel · Shreya Shankar · Jacob Steinhardt · Ian Goodfellow · Percy Liang · Pushmeet Kohli
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #317
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider · Evgenia Rusak · Luisa Eck · Oliver Bringmann · Wieland Brendel · Matthias Bethge
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #318
Deeply Learned Spectral Total Variation Decomposition
Tamara G. Grossmann · Yury Korolev · Guy Gilboa · Carola-Bibiane Schönlieb
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #319
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Miguel Monteiro · Loic Le Folgoc · Daniel Coelho de Castro · Nick Pawlowski · Bernardo Marques · Konstantinos Kamnitsas · Mark van der Wilk · Ben Glocker
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #320
Multiscale Deep Equilibrium Models
Shaojie Bai · Vladlen Koltun · J. Zico Kolter
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #321
Faithful Embeddings for Knowledge Base Queries
Haitian Sun · Andrew Arnold · Tania Bedrax Weiss · Fernando Pereira · William Cohen
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #322
GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang · Sijie Zhu · Chen Chen
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #323
Monotone operator equilibrium networks
Ezra Winston · J. Zico Kolter
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #324
Hierarchical nucleation in deep neural networks
Diego Doimo · Aldo Glielmo · Alessio Ansuini · Alessandro Laio
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #325
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel · Ibrahim Alabdulmohsin · Ilya Tolstikhin · Robert Baldock · Olivier Bousquet · Sylvain Gelly · Daniel Keysers
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #326
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
Thomas Limbacher · Robert Legenstein
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #327
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
Shuxuan Guo · Jose M. Alvarez · Mathieu Salzmann
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #328
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq · CHUAN XU · Giovanni Neglia · Richard Vidal
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #329
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Jason Yu · Konstantinos Derpanis · Marcus Brubaker
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #330
Woodbury Transformations for Deep Generative Flows
You Lu · Bert Huang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #331
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko · Pavel Izmailov · Andrew Wilson
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #332
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Christian Tjandraatmadja · Ross Anderson · Joey Huchette · Will Ma · KRUNAL KISHOR PATEL · Juan Pablo Vielma
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #333
Regret in Online Recommendation Systems
Kaito Ariu · Narae Ryu · Se-Young Yun · Alexandre Proutiere
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #334
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding · Yuhan Quan · Quanming Yao · Yong Li · Depeng Jin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #335
Myersonian Regression
Allen Liu · Renato Leme · Jon Schneider
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #336
On Convergence of Nearest Neighbor Classifiers over Feature Transformations
Luka Rimanic · Cedric Renggli · Bo Li · Ce Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #337
Learning Utilities and Equilibria in Non-Truthful Auctions
Hu Fu · Tao Lin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #338
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming
Joey Huchette · Haihao Lu · Hossein Esfandiari · Vahab Mirrokni
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #339
Secretary and Online Matching Problems with Machine Learned Advice
Antonios Antoniadis · Themis Gouleakis · Pieter Kleer · Pavel Kolev
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #340
On the Error Resistance of Hinge-Loss Minimization
Kunal Talwar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #341
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina · Tuomas Sandholm
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #342
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games
Yun Kuen Cheung · Georgios Piliouras
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #343
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
Xiaotie Deng · Ron Lavi · Tao Lin · Qi Qi · Wenwei WANG · Xiang Yan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #344
A Bandit Learning Algorithm and Applications to Auction Design
Kim Thang Nguyen
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #345
No-regret Learning in Price Competitions under Consumer Reference Effects
Negin Golrezaei · Patrick Jaillet · Jason Cheuk Nam Liang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #346
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
Sam Hopkins · Jerry Li · Fred Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #347
Partially View-aligned Clustering
Zhenyu Huang · Peng Hu · Joey Tianyi Zhou · Jiancheng Lv · Xi Peng
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #348
MeshSDF: Differentiable Iso-Surface Extraction
Edoardo Remelli · Artem Lukoianov · Stephan Richter · Benoit Guillard · Timur Bagautdinov · Pierre Baque · Pascal Fua
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #349
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
Yuandong Tian · Qucheng Gong · Yu Jiang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #350
On Infinite-Width Hypernetworks
Etai Littwin · Tomer Galanti · Lior Wolf · Greg Yang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #351
Training Generative Adversarial Networks with Limited Data
Tero Karras · Miika Aittala · Janne Hellsten · Samuli Laine · Jaakko Lehtinen · Timo Aila
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #352
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
Arthur Delarue · Ross Anderson · Christian Tjandraatmadja
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #353
A Self-Tuning Actor-Critic Algorithm
Tom Zahavy · Zhongwen Xu · Vivek Veeriah · Matteo Hessel · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #354
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan · Kris Kitani
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #355
See, Hear, Explore: Curiosity via Audio-Visual Association
Victoria Dean · Shubham Tulsiani · Abhinav Gupta
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #356
Finite-Time Analysis for Double Q-learning
Huaqing Xiong · Lin Zhao · Yingbin Liang · Wei Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #357
Adaptive Discretization for Model-Based Reinforcement Learning
Sean Sinclair · Tianyu Wang · Gauri Jain · Siddhartha Banerjee · Christina Yu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #358
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot · Dhiraj Prakashchand Gandhi · Abhinav Gupta · Russ Salakhutdinov
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #359
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
Shufan Wang · Jian Li · Shiqiang Wang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #360
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
Anders Jonsson · Emilie Kaufmann · Pierre Menard · Omar Darwiche Domingues · Edouard Leurent · Michal Valko
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #361
A new convergent variant of Q-learning with linear function approximation
Diogo Carvalho · Francisco S. Melo · Pedro A. Santos
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #362
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms
Donghwan Lee · Niao He
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #363
Adversarially Robust Streaming Algorithms via Differential Privacy
Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #364
Generalized Boosting
Arun Suggala · Bingbin Liu · Pradeep Ravikumar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #365
A Topological Filter for Learning with Label Noise
Pengxiang Wu · Songzhu Zheng · Mayank Goswami · Dimitris Metaxas · Chao Chen
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #366
Learning by Minimizing the Sum of Ranked Range
Shu Hu · Yiming Ying · xin wang · Siwei Lyu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #367
Partial Optimal Transport with applications on Positive-Unlabeled Learning
Laetitia Chapel · Mokhtar Z. Alaya · Gilles Gasso
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #368
Assisted Learning: A Framework for Multi-Organization Learning
Xun Xian · Xinran Wang · Jie Ding · Reza Ghanadan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #369
Learning Disentangled Representations and Group Structure of Dynamical Environments
Robin Quessard · Thomas Barrett · William Clements
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #370
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
Bertrand Charpentier · Daniel Zügner · Stephan Günnemann
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #371
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis · Ethan Perez · Aleksandra Piktus · Fabio Petroni · Vladimir Karpukhin · Naman Goyal · Heinrich Küttler · Mike Lewis · Wen-tau Yih · Tim Rocktäschel · Sebastian Riedel · Douwe Kiela
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #372
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
Ekta Sood · Simon Tannert · Philipp Mueller · Andreas Bulling
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #373
COBE: Contextualized Object Embeddings from Narrated Instructional Video
Gedas Bertasius · Lorenzo Torresani
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #374
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu · Yujun Yan · Lingxiao Zhao · Mark Heimann · Leman Akoglu · Danai Koutra
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #375
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhiwei Deng · Karthik Narasimhan · Olga Russakovsky
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #376
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
Vitaly Kurin · Saad Godil · Shimon Whiteson · Bryan Catanzaro
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #377
Probably Approximately Correct Constrained Learning
Luiz Chamon · Alejandro Ribeiro
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #378
Sharp uniform convergence bounds through empirical centralization
Cyrus Cousins · Matteo Riondato
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #379
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
Talgat Daulbaev · Alexandr Katrutsa · Larisa Markeeva · Julia Gusak · Andrzej Cichocki · Ivan Oseledets
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #380
Gaussian Gated Linear Networks
David Budden · Adam Marblestone · Eren Sezener · Tor Lattimore · Gregory Wayne · Joel Veness
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #381
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
Ehsan Hajiramezanali · Arman Hasanzadeh · Nick Duffield · Krishna Narayanan · Xiaoning Qian
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #382
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #383
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Nasir Ahmad · Marcel A. J. van Gerven · Luca Ambrogioni
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #384
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey · Ashok Litwin-Kumar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #385
A Theoretical Framework for Target Propagation
Alexander Meulemans · Francesco Carzaniga · Johan Suykens · João Sacramento · Benjamin F. Grewe
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #386
Inductive Quantum Embedding
Santosh Kumar Srivastava · Dinesh Khandelwal · Dhiraj Madan · Dinesh Garg · Hima Karanam · L Venkata Subramaniam
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #387
Optimizing Neural Networks via Koopman Operator Theory
Akshunna S. Dogra · William Redman
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #388
Biological credit assignment through dynamic inversion of feedforward networks
Bill Podlaski · Christian K. Machens
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #389
On 1/n neural representation and robustness
Josue Nassar · Piotr Sokol · Sueyeon Chung · Kenneth D Harris · Il Memming Park
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #390
Real World Games Look Like Spinning Tops
Wojciech Czarnecki · Gauthier Gidel · Brendan Tracey · Karl Tuyls · Shayegan Omidshafiei · David Balduzzi · Max Jaderberg
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #391
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
Valentin De Bortoli · Alain Durmus · Xavier Fontaine · Umut Simsekli
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #392
Network size and size of the weights in memorization with two-layers neural networks
Sebastien Bubeck · Ronen Eldan · Yin Tat Lee · Dan Mikulincer
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #393
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
Alexander Ritchie · Robert Vandermeulen · Clayton Scott
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #394
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
jean barbier · Nicolas Macris · Cynthia Rush
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #395
Soft Contrastive Learning for Visual Localization
Janine Thoma · Danda Pani Paudel · Luc V Gool
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #396
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding
Bruno Lecouat · Jean Ponce · Julien Mairal
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #397
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency
Fang Zhao · Shengcai Liao · Kaihao Zhang · Ling Shao
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #398
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
Shangchen Zhou · Jiawei Zhang · Wangmeng Zuo · Chen Change Loy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #399
GPS-Net: Graph-based Photometric Stereo Network
Zhuokun Yao · Kun Li · Ying Fu · Haofeng Hu · Boxin Shi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #400
Convolutional Generation of Textured 3D Meshes
Dario Pavllo · Graham Spinks · Thomas Hofmann · Marie-Francine Moens · Aurelien Lucchi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #401
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Zixuan Xu · Banghuai Li · Ye Yuan · Anhong Dang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #402
Neural Sparse Representation for Image Restoration
Yuchen Fan · Jiahui Yu · Yiqun Mei · Yulun Zhang · Yun Fu · Ding Liu · Thomas Huang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #403
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz · Yiyi Liao · Michael Niemeyer · Andreas Geiger
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #404
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
Qing Guo · Felix Juefei-Xu · Xiaofei Xie · Lei Ma · Jian Wang · Bing Yu · Wei Feng · Yang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #405
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
Nicolai Hani · Selim Engin · Jun-Jee Chao · Volkan Isler
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #406
Learning Semantic-aware Normalization for Generative Adversarial Networks
Heliang Zheng · Jianlong Fu · Yanhong Zeng · Jiebo Luo · Zheng-Jun Zha
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #407
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
Benjamin Biggs · David Novotny · Sebastien Ehrhardt · Hanbyul Joo · Ben Graham · Andrea Vedaldi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #408
Learning to Detect Objects with a 1 Megapixel Event Camera
Etienne Perot · Pierre de Tournemire · Davide Nitti · Jonathan Masci · Amos Sironi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #409
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
Steffen Czolbe · Oswin Krause · Ingemar Cox · Christian Igel
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #410
GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen · Aaron Hertzmann · Jaakko Lehtinen · Sylvain Paris
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #411
Deep Energy-based Modeling of Discrete-Time Physics
Takashi Matsubara · Ai Ishikawa · Takaharu Yaguchi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #412
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
Paria Rashidinejad · Jiantao Jiao · Stuart Russell
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #413
Weak Form Generalized Hamiltonian Learning
Kevin Course · Trefor Evans · Prasanth Nair
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #414
Disentangling by Subspace Diffusion
David Pfau · Irina Higgins · Alex Botev · Sébastien Racanière
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #415
Simultaneous Preference and Metric Learning from Paired Comparisons
Austin Xu · Mark Davenport
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #416
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Umut Simsekli · Ozan Sener · George Deligiannidis · Murat Erdogdu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #417
Hold me tight! Influence of discriminative features on deep network boundaries
Guillermo Ortiz-Jimenez · Apostolos Modas · Seyed-Mohsen Moosavi · Pascal Frossard
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #418
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Chongli Qin · Yan Wu · Jost Tobias Springenberg · Andy Brock · Jeff Donahue · Timothy Lillicrap · Pushmeet Kohli
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #419
Sparse Graphical Memory for Robust Planning
Scott Emmons · Ajay Jain · Misha Laskin · Thanard Kurutach · Pieter Abbeel · Deepak Pathak
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #420
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu · Wenhao Ding · Jiacheng Zhu · ZUXIN LIU · Baiming Chen · Ding Zhao
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #421
Bayesian Robust Optimization for Imitation Learning
Daniel S. Brown · Scott Niekum · Marek Petrik
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #422
Learning Parities with Neural Networks
Amit Daniely · Eran Malach
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #423
Learning the Linear Quadratic Regulator from Nonlinear Observations
Zakaria Mhammedi · Dylan Foster · Max Simchowitz · Dipendra Misra · Wen Sun · Akshay Krishnamurthy · Alexander Rakhlin · John Langford
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #424
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
Alexander Wei · Fred Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #425
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes
Yuval Emek · Ron Lavi · Rad Niazadeh · Yangguang Shi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #426
On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni · Michael Jordan · Chi Jin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #427
Online Agnostic Boosting via Regret Minimization
Nataly Brukhim · Xinyi Chen · Elad Hazan · Shay Moran
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #428
Minimax Classification with 0-1 Loss and Performance Guarantees
Santiago Mazuelas · Andrea Zanoni · Aritz Pérez
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #429
Robust Density Estimation under Besov IPM Losses
Ananya Uppal · Shashank Singh · Barnabas Poczos
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #430
Online Multitask Learning with Long-Term Memory
Mark Herbster · Stephen Pasteris · Lisa Tse
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #431
Improving Local Identifiability in Probabilistic Box Embeddings
Shib Dasgupta · Michael Boratko · Dongxu Zhang · Luke Vilnis · Xiang Li · Andrew McCallum
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #432
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
Zaiwei Chen · Siva Theja Maguluri · Sanjay Shakkottai · Karthikeyan Shanmugam
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #433
Synthetic Data Generators -- Sequential and Private
Olivier Bousquet · Roi Livni · Shay Moran
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #434
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
Ilias Diakonikolas · Daniel Kane · Nikos Zarifis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #435
Statistical-Query Lower Bounds via Functional Gradients
Surbhi Goel · Aravind Gollakota · Adam Klivans
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #436
PAC-Bayes Learning Bounds for Sample-Dependent Priors
Pranjal Awasthi · Satyen Kale · Stefani Karp · Mehryar Mohri
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #437
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam · Jeffrey Negrea · Ashish Khisti · Daniel Roy · Gintare Karolina Dziugaite
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #438
Decision trees as partitioning machines to characterize their generalization properties
Jean-Samuel Leboeuf · Frédéric LeBlanc · Mario Marchand
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #439
A Limitation of the PAC-Bayes Framework
Roi Livni · Shay Moran
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #440
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
Hassan Hafez-Kolahi · Zeinab Golgooni · Shohreh Kasaei · Mahdieh Soleymani
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #441
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Andres Masegosa · Stephan Lorenzen · Christian Igel · Yevgeny Seldin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #442
PAC-Bayes Analysis Beyond the Usual Bounds
Omar Rivasplata · Ilja Kuzborskij · Csaba Szepesvari · John Shawe-Taylor
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #443
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao · Ting Liu · Xi Peng · Dimitris Metaxas
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #444
Probabilistic Orientation Estimation with Matrix Fisher Distributions
David Mohlin · Josephine Sullivan · Gérald Bianchi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #445
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
KwanYong Park · Sanghyun Woo · Inkyu Shin · In So Kweon
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #446
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation
Jianfeng Zhang · Xuecheng Nie · Jiashi Feng
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #447
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
Jiangxin Dong · Stefan Roth · Bernt Schiele
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #448
Calibrating CNNs for Lifelong Learning
Pravendra Singh · Vinay Kumar Verma · Pratik Mazumder · Lawrence Carin · Piyush Rai
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #449
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang · Jianqiang Huang · Hanwang Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #450
Diverse Image Captioning with Context-Object Split Latent Spaces
Shweta Mahajan · Stefan Roth
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #451
An Analysis of SVD for Deep Rotation Estimation
Jake Levinson · Carlos Esteves · Kefan Chen · Noah Snavely · Angjoo Kanazawa · Afshin Rostamizadeh · Ameesh Makadia
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #452
DISK: Learning local features with policy gradient
Michał Tyszkiewicz · Pascal Fua · Eduard Trulls
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #453
Wasserstein Distances for Stereo Disparity Estimation
Divyansh Garg · Yan Wang · Bharath Hariharan · Mark Campbell · Kilian Weinberger · Wei-Lun Chao
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #454
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong · Martin Danelljan · Luc V Gool · Radu Timofte
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #455
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney · Ehsan Abbasnejad · Kushal Kafle · Robik Shrestha · Christopher Kanan · Anton van den Hengel
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #456
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
Ze Wang · Xiuyuan Cheng · Guillermo Sapiro · Qiang Qiu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #457
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren · Cunjun Yu · shunan sheng · Xiao Ma · Haiyu Zhao · Shuai Yi · Hongsheng Li
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #458
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina · Boris Ivanovic · Ransalu Senanayake · Mykel J Kochenderfer · Marco Pavone
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #459
Sparse Symplectically Integrated Neural Networks
Daniel DiPietro · Shiying Xiong · Bo Zhu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #460
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #461
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Quynh Nguyen · Marco Mondelli
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #462
Towards Understanding Hierarchical Learning: Benefits of Neural Representations
Minshuo Chen · Yu Bai · Jason Lee · Tuo Zhao · Huan Wang · Caiming Xiong · Richard Socher
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #463
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
Lingkai Kong · Molei Tao
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #464
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes
Hao Chen · Lili Zheng · Raed AL Kontar · Garvesh Raskutti
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #465
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets
Avetik Karagulyan · Arnak Dalalyan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #466
Universal guarantees for decision tree induction via a higher-order splitting criterion
Guy Blanc · Neha Gupta · Jane Lange · Li-Yang Tan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #467
Learning Restricted Boltzmann Machines with Sparse Latent Variables
Guy Bresler · Rares-Darius Buhai
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #468
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
Ron Kupfer · Sharon Qian · Eric Balkanski · Yaron Singer
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #469
Hedging in games: Faster convergence of external and swap regrets
Xi Chen · Binghui Peng
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #470
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola · Paul Hand · Vlad Voroninski
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #471
In search of robust measures of generalization
Gintare Karolina Dziugaite · Alexandre Drouin · Brady Neal · Nitarshan Rajkumar · Ethan Caballero · Linbo Wang · Ioannis Mitliagkas · Daniel Roy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #472
On Convergence and Generalization of Dropout Training
Poorya Mianjy · Raman Arora
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #473
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
Francesca Mignacco · Florent Krzakala · Pierfrancesco Urbani · Lenka Zdeborová
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #474
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Pierfrancesco Urbani · Lenka Zdeborová
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #475
Correspondence learning via linearly-invariant embedding
Riccardo Marin · Marie-Julie Rakotosaona · Simone Melzi · Maks Ovsjanikov
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #476
PIE-NET: Parametric Inference of Point Cloud Edges
Xiaogang Wang · Yuelang Xu · Kai Xu · Andrea Tagliasacchi · Bin Zhou · Ali Mahdavi-Amiri · Hao Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #477
Neural Non-Rigid Tracking
Aljaz Bozic · Pablo Palafox · Michael Zollhöfer · Angela Dai · Justus Thies · Matthias Niessner
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #478
Continuous Surface Embeddings
Natalia Neverova · David Novotny · Marc Szafraniec · Vasil Khalidov · Patrick Labatut · Andrea Vedaldi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #479
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Riccardo Spezialetti · Federico Stella · Marlon Marcon · Luciano Silva · Samuele Salti · Luigi Di Stefano
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #480
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Chen-Hsuan Lin · Chaoyang Wang · Simon Lucey
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #481
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane · Mohamad Aymen mir · Gerard Pons-Moll
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #482
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Yinyu Nie · Yiqun Lin · Xiaoguang Han · Shihui Guo · Jian Chang · Shuguang Cui · Jian.J Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #483
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
SEOHYUN KIM · JaeYoo Park · Bohyung Han
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #484
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger · Aysim Toker · Laura Leal-Taixé · Daniel Cremers
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #485
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
Xiangru Huang · Haitao Yang · Etienne Vouga · Qixing Huang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #486
3D Shape Reconstruction from Vision and Touch
Edward Smith · Roberto Calandra · Adriana Romero · Georgia Gkioxari · David Meger · Jitendra Malik · Michal Drozdzal
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #487
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
David Novotny · Roman Shapovalov · Andrea Vedaldi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #488
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
Lior Yariv · Yoni Kasten · Dror Moran · Meirav Galun · Matan Atzmon · Basri Ronen · Yaron Lipman
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #489
Neural Sparse Voxel Fields
Lingjie Liu · Jiatao Gu · Kyaw Zaw Lin · Tat-Seng Chua · Christian Theobalt
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #490
RepPoints v2: Verification Meets Regression for Object Detection
Yihong Chen · Zheng Zhang · Yue Cao · Liwei Wang · Stephen Lin · Han Hu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #491
Efficient Contextual Bandits with Continuous Actions
Maryam Majzoubi · Chicheng Zhang · Rajan Chari · Akshay Krishnamurthy · John Langford · Aleksandrs Slivkins
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #492
Collapsing Bandits and Their Application to Public Health Intervention
Aditya Mate · Jackson Killian · Haifeng Xu · Andrew Perrault · Milind Tambe
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #493
Learning to Play Sequential Games versus Unknown Opponents
Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #494
Interferobot: aligning an optical interferometer by a reinforcement learning agent
Dmitry Sorokin · Alexander Ulanov · Ekaterina Sazhina · Alexander Lvovsky
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #495
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting
Ziping Xu · Ambuj Tewari
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #496
Reinforcement Learning with Feedback Graphs
Christoph Dann · Yishay Mansour · Mehryar Mohri · Ayush Sekhari · Karthik Sridharan
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #497
A Unifying View of Optimism in Episodic Reinforcement Learning
Gergely Neu · Ciara Pike-Burke
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #498
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
Andrea Zanette · Alessandro Lazaric · Mykel J Kochenderfer · Emma Brunskill
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #499
On Reward-Free Reinforcement Learning with Linear Function Approximation
Ruosong Wang · Simon Du · Lin Yang · Russ Salakhutdinov
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #500
On Efficiency in Hierarchical Reinforcement Learning
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #501
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
Yi Tian · Jian Qian · Suvrit Sra
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #502
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi · Felix Berkenkamp · Andreas Krause
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #503
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information
Genevieve Flaspohler · Nick Roy · John Fisher III
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #504
High-Throughput Synchronous Deep RL
Iou-Jen Liu · Raymond A. Yeh · Alex Schwing
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #505
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy · Mohammadreza Nazari · Davood Hajinezhad · Jorge Silva
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #507
Dynamic Submodular Maximization
Morteza Monemizadeh
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #508
Adaptive Shrinkage Estimation for Streaming Graphs
Nesreen K. Ahmed · Nick Duffield
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #509
Near-Optimal Comparison Based Clustering
Michaël Perrot · Pascal Esser · Debarghya Ghoshdastidar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #510
Impossibility Results for Grammar-Compressed Linear Algebra
Amir Abboud · Arturs Backurs · Karl Bringmann · Marvin Künnemann
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #511
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso
Jerome-Alexis Chevalier · Joseph Salmon · Alexandre Gramfort · Bertrand Thirion
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #512
Submodular Meta-Learning
Arman Adibi · Aryan Mokhtari · Hamed Hassani
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #513
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Marwa El Halabi · Slobodan Mitrović · Ashkan Norouzi-Fard · Jakab Tardos · Jakub Tarnawski
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #514
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Rebecca Reiffenhäuser
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #515
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Guy Lorberbom · Chris Maddison · Nicolas Heess · Tamir Hazan · Danny Tarlow
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #516
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang · Jie Shen · Pranjal Awasthi
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #517
Learning Structured Distributions From Untrusted Batches: Faster and Simpler
Sitan Chen · Jerry Li · Ankur Moitra
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #519
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
Ilias Diakonikolas · Daniel M. Kane · Ankit Pensia
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #520
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin · Julien Perolat · Mathieu Lauriere · Matthieu Geist · Romuald Elie · Olivier Pietquin
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #521
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
Aranyak Mehta · Uri Nadav · Alexandros Psomas · Aviad Rubinstein
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #522
PAC-Bayesian Bound for the Conditional Value at Risk
Zakaria Mhammedi · Benjamin Guedj · Robert Williamson
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #523
Universal Function Approximation on Graphs
Rickard Brüel Gabrielsson
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #524
Model Class Reliance for Random Forests
Gavin Smith · Roberto Mansilla · James Goulding
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #525
Hypersolvers: Toward Fast Continuous-Depth Models
Michael Poli · Stefano Massaroli · Atsushi Yamashita · Hajime Asama · Jinkyoo Park
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #526
Almost Surely Stable Deep Dynamics
Nathan Lawrence · Philip Loewen · Michael Forbes · Johan Backstrom · Bhushan Gopaluni
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #527
Learning Optimal Representations with the Decodable Information Bottleneck
Yann Dubois · Douwe Kiela · David Schwab · Ramakrishna Vedantam
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #528
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
Sirisha Rambhatla · Xingguo Li · Jarvis Haupt
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #529
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier · Koustuv Sinha · Siva Reddy · Chris Pal
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #530
Online Decision Based Visual Tracking via Reinforcement Learning
ke Song · Wei Zhang · Ran Song · Yibin Li
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #531
On the Modularity of Hypernetworks
Tomer Galanti · Lior Wolf
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #532
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
Bita Darvish Rouhani · Daniel Lo · Ritchie Zhao · Ming Liu · Jeremy Fowers · Kalin Ovtcharov · Anna Vinogradsky · Sarah Massengill · Lita Yang · Ray Bittner · Alessandro Forin · Haishan Zhu · Taesik Na · Prerak Patel · Shuai Che · Lok Chand Koppaka · XIA SONG · Subhojit Som · Kaustav Das · Saurabh K T · Steve Reinhardt · Sitaram Lanka · Eric Chung · Doug Burger
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #533
Counterexample-Guided Learning of Monotonic Neural Networks
Aishwarya Sivaraman · Golnoosh Farnadi · Todd Millstein · Guy Van den Broeck
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #534
Permute-and-Flip: A new mechanism for differentially private selection
Ryan McKenna · Daniel Sheldon
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #535
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Andrea Celli · Alberto Marchesi · Gabriele Farina · Nicola Gatti
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #536
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray · Botond Szabo · Gabriel Clara
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #537
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
Gaojie Jin · Xinping Yi · Liang Zhang · Lijun Zhang · Sven Schewe · Xiaowei Huang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #538
Learning discrete distributions with infinite support
Doron Cohen · Aryeh Kontorovich · Geoffrey Wolfer
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #539
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
Hongseok Namkoong · Ramtin Keramati · Steve Yadlowsky · Emma Brunskill
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #540
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs
Nevena Lazic · Dong Yin · Mehrdad Farajtabar · Nir Levine · Dilan Gorur · Chris Harris · Dale Schuurmans
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #541
Instance-based Generalization in Reinforcement Learning
Martin Bertran · Natalia Martinez · Mariano Phielipp · Guillermo Sapiro
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #542
Efficient Planning in Large MDPs with Weak Linear Function Approximation
Roshan Shariff · Csaba Szepesvari
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #543
Multi-agent active perception with prediction rewards
Mikko Lauri · Frans Oliehoek
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #544
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
Michael Janner · Igor Mordatch · Sergey Levine
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #545
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm Van Seijen · Hadi Nekoei · Evan Racah · Sarath Chandar
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #546
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
Aaron Sonabend · Junwei Lu · Leo Anthony Celi · Tianxi Cai · Peter Szolovits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #547
Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen · Han Zhao · Weinan Zhang · Yong Yu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #548
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure · Remi Tachet des Combes · Thang Long Doan · Philip Bachman · R Devon Hjelm
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #549
Zap Q-Learning With Nonlinear Function Approximation
Shuhang Chen · Adithya M Devraj · Fan Lu · Ana Busic · Sean Meyn
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #550
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol · Daniel E Worrall · Herke van Hoof · Frans Oliehoek · Max Welling
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #551
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee · Anusha Nagabandi · Pieter Abbeel · Sergey Levine
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #552
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal · Sham Kakade · Akshay Krishnamurthy · Wen Sun
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #553
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
Chi Jin · Sham Kakade · Akshay Krishnamurthy · Qinghua Liu
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #554
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Jack Parker-Holder · Vu Nguyen · Stephen J Roberts
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #555
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac · Adria Recasens · Rosalia Schneider · Relja Arandjelović · Jason Ramapuram · Jeffrey De Fauw · Lucas Smaira · Sander Dieleman · Andrew Zisserman
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #556
Deep Subspace Clustering with Data Augmentation
Mahdi Abavisani · Alireza Naghizadeh · Dimitris Metaxas · Vishal Patel
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #557
Learning Retrospective Knowledge with Reverse Reinforcement Learning
Shangtong Zhang · Vivek Veeriah · Shimon Whiteson
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #558
The MAGICAL Benchmark for Robust Imitation
Sam Toyer · Rohin Shah · Andrew Critch · Stuart Russell
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #559
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Devavrat Shah · Dogyoon Song · Zhi Xu · Yuzhe Yang
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #560
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis · Elliot Creager · Animesh Garg
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #561
POMDPs in Continuous Time and Discrete Spaces
Bastian Alt · Matthias Schultheis · Heinz Koeppl
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #562
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch · Oleh Rybkin · Frederik Ebert · Shenghao Zhou · Dinesh Jayaraman · Chelsea Finn · Sergey Levine
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #563
Forethought and Hindsight in Credit Assignment
Veronica Chelu · Doina Precup · Hado van Hasselt
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #564
Learning Multi-Agent Communication through Structured Attentive Reasoning
Murtaza Rangwala · Ryan K Williams
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #565
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
Saim Wani · Shivansh Patel · Unnat Jain · Angel Chang · Manolis Savva
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #566
Influence-Augmented Online Planning for Complex Environments
Jinke He · Miguel Suau · Frans Oliehoek
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #567
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms
Pinar Ozisik · Philip Thomas
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #568
Provably Efficient Neural GTD for Off-Policy Learning
Hoi-To Wai · Zhuoran Yang · Zhaoran Wang · Mingyi Hong
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #569
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto · David Meger · Doina Precup
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #1020
Comparator-Adaptive Convex Bandits
Dirk van der Hoeven · Ashok Cutkosky · Haipeng Luo
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #83
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar · Aurick Zhou · George Tucker · Sergey Levine
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #571
Towards Playing Full MOBA Games with Deep Reinforcement Learning
Deheng Ye · Guibin Chen · Wen Zhang · Sheng Chen · Bo Yuan · Bo Liu · Jia Chen · Zhao Liu · Fuhao Qiu · Hongsheng Yu · Yinyuting Yin · Bei Shi · Liang Wang · Tengfei Shi · Qiang Fu · Wei Yang · Lanxiao Huang · Wei Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #572
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #573
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu · Meng Fang · Ling Chen · Yali Du · Joey Tianyi Zhou · Chengqi Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #574
Reinforcement Learning with Augmented Data
Misha Laskin · Kimin Lee · Adam Stooke · Lerrel Pinto · Pieter Abbeel · Aravind Srinivas
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #575
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Tianren Zhang · Shangqi Guo · Tian Tan · Xiaolin Hu · Feng Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #576
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition
Zihan Zhang · Yuan Zhou · Xiangyang Ji
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #577
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid · Gregory Farquhar · Bei Peng · Shimon Whiteson
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #578
Succinct and Robust Multi-Agent Communication With Temporal Message Control
Sai Qian Zhang · Qi Zhang · Jieyu Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #579
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
Guannan Qu · Yiheng Lin · Adam Wierman · Na Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #580
Learning Individually Inferred Communication for Multi-Agent Cooperation
gang Ding · Tiejun Huang · Zongqing Lu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #581
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
Bowen Baker
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #582
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
Zaheen Ahmad · Levi Lelis · Michael Bowling
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #583
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
Dieqiao Feng · Carla Gomes · Bart Selman
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #584
Softmax Deep Double Deterministic Policy Gradients
Ling Pan · Qingpeng Cai · Longbo Huang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #585
Non-Crossing Quantile Regression for Distributional Reinforcement Learning
Fan Zhou · Jianing Wang · Xingdong Feng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #586
Improving Generalization in Reinforcement Learning with Mixture Regularization
KAIXIN WANG · Bingyi Kang · Jie Shao · Jiashi Feng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #587
Choice Bandits
Arpit Agarwal · Nicholas Johnson · Shivani Agarwal
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #588
Differentiable Meta-Learning of Bandit Policies
Craig Boutilier · Chih-wei Hsu · Branislav Kveton · Martin Mladenov · Csaba Szepesvari · Manzil Zaheer
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #589
Latent Bandits Revisited
Joey Hong · Branislav Kveton · Manzil Zaheer · Yinlam Chow · Amr Ahmed · Craig Boutilier
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #590
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards
Vrettos Moulos
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #591
Sub-sampling for Efficient Non-Parametric Bandit Exploration
Dorian Baudry · Emilie Kaufmann · Odalric-Ambrym Maillard
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #592
Online Learning in Contextual Bandits using Gated Linear Networks
Eren Sezener · Marcus Hutter · David Budden · Jianan Wang · Joel Veness
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #593
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
Qing Feng · Ben Letham · Hongzi Mao · Eytan Bakshy
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #594
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #595
RD$^2$: Reward Decomposition with Representation Decomposition
Zichuan Lin · Derek Yang · Li Zhao · Tao Qin · Guangwen Yang · Tie-Yan Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #596
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
Sreejith Balakrishnan · Quoc Phong Nguyen · Bryan Kian Hsiang Low · Harold Soh
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #597
Learning Guidance Rewards with Trajectory-space Smoothing
Tanmay Gangwani · Yuan Zhou · Jian Peng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #598
Avoiding Side Effects in Complex Environments
Alex Turner · Neale Ratzlaff · Prasad Tadepalli
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #599
Reward-rational (implicit) choice: A unifying formalism for reward learning
Hong Jun Jeon · Smitha Milli · Anca Dragan
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #600
Planning with General Objective Functions: Going Beyond Total Rewards
Ruosong Wang · Peilin Zhong · Simon Du · Russ Salakhutdinov · Lin Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #601
Preference-based Reinforcement Learning with Finite-Time Guarantees
Yichong Xu · Ruosong Wang · Lin Yang · Aarti Singh · Artur Dubrawski
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #602
Is Long Horizon RL More Difficult Than Short Horizon RL?
Ruosong Wang · Simon Du · Lin Yang · Sham Kakade
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #603
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou · Yiying Li · Yongxin Yang · Huaimin Wang · Timothy Hospedales
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #604
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon · Jinho Choo · Byoungjip Kim · Iljoo Yoon · Youngjune Gwon · Seungjai Min
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #605
Error Bounds of Imitating Policies and Environments
Tian Xu · Ziniu Li · Yang Yu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #606
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin · Garrett Thomas · Guangwen Yang · Tengyu Ma
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #608
Offline Imitation Learning with a Misspecified Simulator
Shengyi Jiang · Jingcheng Pang · Yang Yu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #609
Policy Improvement via Imitation of Multiple Oracles
Ching-An Cheng · Andrey Kolobov · Alekh Agarwal
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #610
Toward the Fundamental Limits of Imitation Learning
Nived Rajaraman · Lin Yang · Jiantao Jiao · Kannan Ramchandran
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #611
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Younggyo Seo · Kimin Lee · Ignasi Clavera Gilaberte · Thanard Kurutach · Jinwoo Shin · Pieter Abbeel
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #612
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang · Qi Cai · Zhuoran Yang · Yongxin Chen · Zhaoran Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #613
Multi-task Batch Reinforcement Learning with Metric Learning
Jiachen Li · Quan Vuong · Shuang Liu · Minghua Liu · Kamil Ciosek · Henrik Christensen · Hao Su
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #614
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang · Huazhe Xu · YI WU · Xiaolong Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #615
Generalized Hindsight for Reinforcement Learning
Alexander Li · Lerrel Pinto · Pieter Abbeel
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #616
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang · Wen Song · Zhiguang Cao · Jie Zhang · Puay Siew Tan · Xu Chi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #617
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
Xinyue Chen · Zijian Zhou · Zheng Wang · Che Wang · Yanqiu Wu · Keith Ross
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #618
Steady State Analysis of Episodic Reinforcement Learning
Huang Bojun
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #619
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
Douwe Kiela · Hamed Firooz · Aravind Mohan · Vedanuj Goswami · Amanpreet Singh · Pratik Ringshia · Davide Testuggine
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #620
Learning Disentangled Representations of Videos with Missing Data
Armand Comas · Chi Zhang · Zlatan Feric · Octavia Camps · Rose Yu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #621
Cycle-Contrast for Self-Supervised Video Representation Learning
Quan Kong · Wenpeng Wei · Ziwei Deng · Tomoaki Yoshinaga · Tomokazu Murakami
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #622
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Yuehua Zhu · Muli Yang · Cheng Deng · Wei Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #623
Blind Video Temporal Consistency via Deep Video Prior
Chenyang Lei · Yazhou Xing · Qifeng Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #624
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
Shir Gur · Sagie Benaim · Lior Wolf
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #625
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri · Andrew Owens · Alexei Efros
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #626
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman · Andrew Ilyas · Logan Engstrom · Ashish Kapoor · Aleksander Madry
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #627
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
Yongqing Liang · Xin Li · Navid Jafari · Jim Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #628
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding
Zhu Zhang · Zhou Zhao · Zhijie Lin · jieming zhu · Xiuqiang He
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #629
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
Juan Luis GonzalezBello · Munchurl Kim
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #630
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Simon Ging · Mohammadreza Zolfaghari · Hamed Pirsiavash · Thomas Brox
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #631
Stochastic Normalization
Zhi Kou · Kaichao You · Mingsheng Long · Jianmin Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #632
Curriculum By Smoothing
Samarth Sinha · Animesh Garg · Hugo Larochelle
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #633
Focus of Attention Improves Information Transfer in Visual Features
Matteo Tiezzi · Stefano Melacci · Alessandro Betti · Marco Maggini · Marco Gori
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #634
Semantic Visual Navigation by Watching YouTube Videos
Matthew Chang · Arjun Gupta · Saurabh Gupta
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #635
Lipschitz-Certifiable Training with a Tight Outer Bound
Sungyoon Lee · Jaewook Lee · Saerom Park
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #636
Efficient Exact Verification of Binarized Neural Networks
Kai Jia · Martin Rinard
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #637
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
Zifeng Wang · Xi Chen · Rui Wen · Shao-Lun Huang · Ercan E Kuruoglu · Yefeng Zheng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #638
CASTLE: Regularization via Auxiliary Causal Graph Discovery
Trent Kyono · Yao Zhang · Mihaela van der Schaar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #639
Multi-Stage Influence Function
Hongge Chen · Si Si · Yang Li · Ciprian Chelba · Sanjiv Kumar · Duane Boning · Cho-Jui Hsieh
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #640
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh · Been Kim · Sercan Arik · Chun-Liang Li · Tomas Pfister · Pradeep Ravikumar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #641
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby · Yu-Xiang Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #642
Robust Optimization for Fairness with Noisy Protected Groups
Serena Wang · Wenshuo Guo · Harikrishna Narasimhan · Andrew Cotter · Maya Gupta · Michael Jordan
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #643
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
Kaivalya Rawal · Himabindu Lakkaraju
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #644
The Discrete Gaussian for Differential Privacy
Clément L Canonne · Gautam Kamath · Thomas Steinke
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #645
Locally Differentially Private (Contextual) Bandits Learning
Kai Zheng · Tianle Cai · Weiran Huang · Zhenguo Li · Liwei Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #646
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
Jinhyun So · Basak Guler · Salman Avestimehr
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #647
Privacy Amplification via Random Check-Ins
Borja Balle · Peter Kairouz · Brendan McMahan · Om Thakkar · Abhradeep Guha Thakurta
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #648
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space
Adam Smith · Shuang Song · Abhradeep Guha Thakurta
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #649
Breaking the Communication-Privacy-Accuracy Trilemma
Wei-Ning Chen · Peter Kairouz · Ayfer Ozgur
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #650
Towards practical differentially private causal graph discovery
Lun Wang · Qi Pang · Dawn Song
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #651
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
Dmitry Kovalev · Adil Salim · Peter Richtarik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #652
Relative gradient optimization of the Jacobian term in unsupervised deep learning
Luigi Gresele · Giancarlo Fissore · Adrián Javaloy · Bernhard Schölkopf · Aapo Hyvarinen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #653
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Zongyi Li · Nikola Kovachki · Kamyar Azizzadenesheli · Burigede Liu · Andrew Stuart · Kaushik Bhattacharya · Anima Anandkumar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #654
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #655
Proximity Operator of the Matrix Perspective Function and its Applications
Joong-Ho (Johann) Won
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #656
Improved Algorithms for Convex-Concave Minimax Optimization
Yuanhao Wang · Jian Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #657
Decentralized Accelerated Proximal Gradient Descent
Haishan Ye · Ziang Zhou · Luo Luo · Tong Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #658
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
Yan Yan · Yi Xu · Qihang Lin · Wei Liu · Tianbao Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #659
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Filip Hanzely · Slavomír Hanzely · Samuel Horváth · Peter Richtarik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #660
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
Haoran Zhu · Pavankumar Murali · Dzung Phan · Lam Nguyen · Jayant Kalagnanam
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #661
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
Digvijay Boob · Qi Deng · Guanghui Lan · Yilin Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #662
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
Yueming LYU · Yuan Yuan · Ivor Tsang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #663
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Shali Jiang · Daniel Jiang · Maximilian Balandat · Brian Karrer · Jacob Gardner · Roman Garnett
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #664
Optimal Query Complexity of Secure Stochastic Convex Optimization
Wei Tang · Chien-Ju Ho · Yang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #665
Approximate Cross-Validation with Low-Rank Data in High Dimensions
Will Stephenson · Madeleine Udell · Tamara Broderick
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #666
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Minh Hoang · Nghia Hoang · Hai Pham · David Woodruff
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #667
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang · Cyrus Rashtchian · Hongyang Zhang · Russ Salakhutdinov · Kamalika Chaudhuri
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #668
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Wei-An Lin · Chun Pong Lau · Alexander Levine · Rama Chellappa · Soheil Feizi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #669
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
Hadi Mohaghegh Dolatabadi · Sarah Erfani · Christopher Leckie
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #670
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
Haotao Wang · Tianlong Chen · Shupeng Gui · TingKuei Hu · Ji Liu · Zhangyang Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #671
Adversarial Distributional Training for Robust Deep Learning
Yinpeng Dong · Zhijie Deng · Tianyu Pang · Jun Zhu · Hang Su
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #672
On the Trade-off between Adversarial and Backdoor Robustness
Cheng-Hsin Weng · Yan-Ting Lee · Shan-Hung (Brandon) Wu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #673
An Efficient Adversarial Attack for Tree Ensembles
Chong Zhang · Huan Zhang · Cho-Jui Hsieh
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #674
Adversarial Self-Supervised Contrastive Learning
Minseon Kim · Jihoon Tack · Sung Ju Hwang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #675
Adversarial Weight Perturbation Helps Robust Generalization
Dongxian Wu · Shu-Tao Xia · Yisen Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #676
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan · Yen-Chun Chen · Linjie Li · Chen Zhu · Yu Cheng · Jingjing Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #677
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Xiaoyi Dong · Dongdong Chen · Jianmin Bao · Chuan Qin · Lu Yuan · Weiming Zhang · Nenghai Yu · Dong Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #678
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong · Jinwoo Shin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #679
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori · Achal Dave · Vaishaal Shankar · Nicholas Carlini · Benjamin Recht · Ludwig Schmidt
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #680
Certified Monotonic Neural Networks
Xingchao Liu · Xing Han · Na Zhang · Qiang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #681
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo · Qizhang Li · Hao Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #682
Practical No-box Adversarial Attacks against DNNs
Qizhang Li · Yiwen Guo · Hao Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #683
Learning to Adapt to Evolving Domains
Hong Liu · Mingsheng Long · Jianmin Wang · Yu Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #684
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeong Un Ryu · JaeWoong Shin · Hae Beom Lee · Sung Ju Hwang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #685
Heuristic Domain Adaptation
Shuhao Cui · Xuan Jin · Shuhui Wang · Yuan He · Qingming Huang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #686
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Yawei Luo · Ping Liu · Tao Guan · Junqing Yu · Yi Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #687
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
Chong You · Zhihui Zhu · Qing Qu · Yi Ma
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #688
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Yixiao Ge · Feng Zhu · Dapeng Chen · Rui Zhao · Hongsheng Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #689
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann · Julien N.P Martel · Alexander Bergman · David Lindell · Gordon Wetzstein
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #690
Rethinking Pre-training and Self-training
Barret Zoph · Golnaz Ghiasi · Tsung-Yi Lin · Yin Cui · Hanxiao Liu · Ekin Dogus Cubuk · Quoc V Le
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #691
MetaSDF: Meta-Learning Signed Distance Functions
Vincent Sitzmann · Eric Chan · Richard Tucker · Noah Snavely · Gordon Wetzstein
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #692
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack · Sangwoo Mo · Jongheon Jeong · Jinwoo Shin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #693
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Guoliang Kang · Yunchao Wei · Yi Yang · Yueting Zhuang · Alexander Hauptmann
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #694
Deep Automodulators
Ari Heljakka · Yuxin Hou · Juho Kannala · Arno Solin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #695
Autoregressive Score Matching
Chenlin Meng · Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #696
Compositional Visual Generation with Energy Based Models
Yilun Du · Shuang Li · Igor Mordatch
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #697
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions
Michael Tsang · Sirisha Rambhatla · Yan Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #698
Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang · Mingming Gong · Petar Stojanov · Biwei Huang · QINGSONG LIU · Clark Glymour
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #699
Fast Unbalanced Optimal Transport on a Tree
Ryoma Sato · Makoto Yamada · Hisashi Kashima
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #700
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
Takeshi Teshima · Isao Ishikawa · Koichi Tojo · Kenta Oono · Masahiro Ikeda · Masashi Sugiyama
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #701
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers
Chulhee Yun · Yin-Wen Chang · Srinadh Bhojanapalli · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #702
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions
Yulong Lu · Jianfeng Lu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #703
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
Arun Jambulapati · Jerry Li · Kevin Tian
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #704
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
Qiwen Cui · Lin Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #705
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
Dinghuai Zhang · Mao Ye · Chengyue Gong · Zhanxing Zhu · Qiang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #706
Preference learning along multiple criteria: A game-theoretic perspective
Kush Bhatia · Ashwin Pananjady · Peter Bartlett · Anca Dragan · Martin Wainwright
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #707
On Correctness of Automatic Differentiation for Non-Differentiable Functions
Wonyeol Lee · Hangyeol Yu · Xavier Rival · Hongseok Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #708
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time
Jerry Li · Guanghao Ye
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #709
Cooperative Multi-player Bandit Optimization
Ilai Bistritz · Nicholas Bambos
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #710
Neutralizing Self-Selection Bias in Sampling for Sortition
Bailey Flanigan · Paul Gölz · Anupam Gupta · Ariel Procaccia
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #711
The Complete Lasso Tradeoff Diagram
Hua Wang · Yachong Yang · Zhiqi Bu · Weijie Su
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #712
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #713
Distributional Robustness with IPMs and links to Regularization and GANs
Hisham Husain
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #714
Towards Convergence Rate Analysis of Random Forests for Classification
Wei Gao · Zhi-Hua Zhou
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #715
Learning to Mutate with Hypergradient Guided Population
Zhiqiang Tao · Yaliang Li · Bolin Ding · Ce Zhang · Jingren Zhou · Yun Fu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #716
Robust Disentanglement of a Few Factors at a Time using rPU-VAE
Benjamin Estermann · Markus Marks · Mehmet Fatih Yanik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #717
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong · Yatao Bian · Tingyang Xu · Weiyang Xie · Ying Wei · Wenbing Huang · Junzhou Huang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #718
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
Tarun Gogineni · Ziping Xu · Exequiel Punzalan · Runxuan Jiang · Joshua Kammeraad · Ambuj Tewari · Paul Zimmerman
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #719
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Vijil Chenthamarakshan · Payel Das · Samuel Hoffman · Hendrik Strobelt · Inkit Padhi · Kar Wai Lim · Benjamin Hoover · Matteo Manica · Jannis Born · Teodoro Laino · Aleksandra Mojsilovic
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #720
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation
Chun-Hsing Lin · Siang-Ruei Wu · Hung-yi Lee · Yun-Nung Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #721
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables
Wangchunshu Zhou · Jinyi Hu · Hanlin Zhang · Xiaodan Liang · Maosong Sun · Chenyan Xiong · Jian Tang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #722
Learning to summarize with human feedback
Nisan Stiennon · Long Ouyang · Jeffrey Wu · Daniel Ziegler · Ryan Lowe · Chelsea Voss · Alec Radford · Dario Amodei · Paul Christiano
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #723
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis · Joseph Campbell · Mariano Phielipp · Stefan Lee · Chitta Baral · Heni Ben Amor
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #724
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn · Junsu Kim · Hankook Lee · Jinwoo Shin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #725
What is being transferred in transfer learning?
Behnam Neyshabur · Hanie Sedghi · Chiyuan Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #726
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann · Andrew Lampinen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #727
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Yonggan Fu · Haoran You · Yang Zhao · Yue Wang · Chaojian Li · Kailash Gopalakrishnan · Zhangyang Wang · Yingyan Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #728
Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail · Mohamed Gunady · Hector Corrada Bravo · Soheil Feizi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #729
Stochastic Deep Gaussian Processes over Graphs
Naiqi Li · Wenjie Li · Jifeng Sun · Yinghua Gao · Yong Jiang · Shu-Tao Xia
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #730
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks
Mohammadreza Mousavi Kalan · Zalan Fabian · Salman Avestimehr · Mahdi Soltanolkotabi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #731
Rethinking Learnable Tree Filter for Generic Feature Transform
Lin Song · Yanwei Li · Zhengkai Jiang · Zeming Li · Xiangyu Zhang · Hongbin Sun · Jian Sun · Nanning Zheng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #732
SOLOv2: Dynamic and Fast Instance Segmentation
Xinlong Wang · Rufeng Zhang · Tao Kong · Lei Li · Chunhua Shen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #733
HOI Analysis: Integrating and Decomposing Human-Object Interaction
Yong-Lu Li · Xinpeng Liu · Xiaoqian Wu · Yizhuo Li · Cewu Lu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #734
RANet: Region Attention Network for Semantic Segmentation
Dingguo Shen · Yuanfeng Ji · Ping Li · Yi Wang · Di Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #735
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
Wen-Da Jin · Jun Xu · Ming-Ming Cheng · Yi Zhang · Wei Guo
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #736
Few-Cost Salient Object Detection with Adversarial-Paced Learning
Dingwen Zhang · HaiBin Tian · Jungong Han
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #737
Detecting Hands and Recognizing Physical Contact in the Wild
Supreeth Narasimhaswamy · Trung Nguyen · Minh Hoai Nguyen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #738
Targeted Adversarial Perturbations for Monocular Depth Prediction
Alex Wong · Safa Cicek · Stefano Soatto
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #739
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang · Michael Maire
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #740
Learning Affordance Landscapes for Interaction Exploration in 3D Environments
Tushar Nagarajan · Kristen Grauman
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #741
Deep Variational Instance Segmentation
Jialin Yuan · Chao Chen · Fuxin Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #742
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
Yangxin Wu · Gengwei Zhang · Hang Xu · Xiaodan Liang · Liang Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #743
Fine-Grained Dynamic Head for Object Detection
Lin Song · Yanwei Li · Zhengkai Jiang · Zeming Li · Hongbin Sun · Jian Sun · Nanning Zheng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #744
Learning About Objects by Learning to Interact with Them
Martin Lohmann · Jordi Salvador · Aniruddha Kembhavi · Roozbeh Mottaghi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #745
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
Ankit Goyal · Kaiyu Yang · Dawei Yang · Jia Deng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #1146
Optimal visual search based on a model of target detectability in natural images
Shima Rashidi · Krista Ehinger · Andrew Turpin · Lars Kulik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #1163
Online Influence Maximization under Linear Threshold Model
Shuai Li · Fang Kong · Kejie Tang · Qizhi Li · Wei Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #1190
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
Yi Hao · Alon Orlitsky
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #291
Model Fusion via Optimal Transport
Sidak Pal Singh · Martin Jaggi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #746
What if Neural Networks had SVDs?
Alexander Mathiasen · Frederik Hvilshøj · Jakob Rødsgaard Jørgensen · Anshul Nasery · Davide Mottin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #747
Understanding and Improving Fast Adversarial Training
Maksym Andriushchenko · Nicolas Flammarion
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #748
Posterior Re-calibration for Imbalanced Datasets
Junjiao Tian · Yen-Cheng Liu · Nathaniel Glaser · Yen-Chang Hsu · Zsolt Kira
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #749
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen · Jiquan Ngiam · Yanping Huang · Thang Luong · Henrik Kretzschmar · Yuning Chai · Dragomir Anguelov
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #750
GCN meets GPU: Decoupling “When to Sample” from “How to Sample”
Morteza Ramezani · Weilin Cong · Mehrdad Mahdavi · Anand Sivasubramaniam · Mahmut Kandemir
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #751
Improving model calibration with accuracy versus uncertainty optimization
Ranganath Krishnan · Omesh Tickoo
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #752
Deep Evidential Regression
Alexander Amini · Wilko Schwarting · Ava P Soleimany · Daniela Rus
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #753
Practical Quasi-Newton Methods for Training Deep Neural Networks
Donald Goldfarb · Yi Ren · Achraf Bahamou
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #754
Ultra-Low Precision 4-bit Training of Deep Neural Networks
Xiao Sun · Naigang Wang · Chia-Yu Chen · Jiamin Ni · Ankur Agrawal · Xiaodong Cui · Swagath Venkataramani · Kaoutar El Maghraoui · Vijayalakshmi (Viji) Srinivasan · Kailash Gopalakrishnan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #755
Improving Neural Network Training in Low Dimensional Random Bases
Frithjof Gressmann · Zach Eaton-Rosen · Carlo Luschi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #756
Bandit Samplers for Training Graph Neural Networks
Ziqi Liu · Zhengwei Wu · Zhiqiang Zhang · Jun Zhou · Shuang Yang · Le Song · Yuan Qi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #757
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Chia-Yu Chen · Jiamin Ni · Songtao Lu · Xiaodong Cui · Pin-Yu Chen · Xiao Sun · Naigang Wang · Swagath Venkataramani · Vijayalakshmi (Viji) Srinivasan · Wei Zhang · Kailash Gopalakrishnan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #758
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
Yogesh Balaji · Rama Chellappa · Soheil Feizi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #759
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods
Laurence Aitchison
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #760
MomentumRNN: Integrating Momentum into Recurrent Neural Networks
Tan Nguyen · Richard Baraniuk · Andrea Bertozzi · Stanley Osher · Bao Wang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #761
Why are Adaptive Methods Good for Attention Models?
Jingzhao Zhang · Sai Praneeth Karimireddy · Andreas Veit · Seungyeon Kim · Sashank Reddi · Sanjiv Kumar · Suvrit Sra
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #762
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Zhining Liu · Pengfei Wei · Jing Jiang · Wei Cao · Jiang Bian · Yi Chang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #763
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega · Matteo Boschini · Angelo Porrello · Davide Abati · SIMONE CALDERARA
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #764
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro · Bartłomiej Twardowski · Andrew Bagdanov · Joost van de Weijer
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #765
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke · Bing Liu · Xingchang Huang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #766
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan · Siddharth Swaroop · Alexander Immer · Runa Eschenhagen · Richard Turner · Mohammad Emtiyaz Khan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #767
Look-ahead Meta Learning for Continual Learning
Gunshi Gupta · Karmesh Yadav · Liam Paull
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #768
A Combinatorial Perspective on Transfer Learning
Jianan Wang · Eren Sezener · David Budden · Marcus Hutter · Joel Veness
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #769
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry · Naeemullah Khan · Puneet Dokania · Philip Torr
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #770
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
Hung-Jen Chen · An-Chieh Cheng · Da-Cheng Juan · Wei Wei · Min Sun
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #771
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Massimo Caccia · Pau Rodriguez · Oleksiy Ostapenko · Fabrice Normandin · Min Lin · Lucas Page-Caccia · Issam Hadj Laradji · Irina Rish · Alexandre Lacoste · David Vázquez · Laurent Charlin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #772
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #773
Task-Robust Model-Agnostic Meta-Learning
Liam Collins · Aryan Mokhtari · Sanjay Shakkottai
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #774
Learning to Learn Variational Semantic Memory
Xiantong Zhen · Yingjun Du · Huan Xiong · Qiang Qiu · Cees Snoek · Ling Shao
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #775
Continuous Meta-Learning without Tasks
James Harrison · Apoorva Sharma · Chelsea Finn · Marco Pavone
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #776
Auxiliary Task Reweighting for Minimum-data Learning
Baifeng Shi · Judy Hoffman · Kate Saenko · Trevor Darrell · Huijuan Xu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #777
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry · Clément Moulin-Frier · Pierre-Yves Oudeyer
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #778
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
Aude Sportisse · Claire Boyer · Julie Josse
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #779
PLANS: Neuro-Symbolic Program Learning from Videos
Raphaël Dang-Nhu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #780
Probabilistic Linear Solvers for Machine Learning
Jonathan Wenger · Philipp Hennig
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #781
A/B Testing in Dense Large-Scale Networks: Design and Inference
Preetam Nandy · Kinjal Basu · Shaunak Chatterjee · Ye Tu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #782
Dual Instrumental Variable Regression
Krikamol Muandet · Arash Mehrjou · Si Kai Lee · Anant Raj
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #783
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica · James Jordon · Mihaela van der Schaar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #784
Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang · Mihaela van der Schaar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #785
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #786
Causal Estimation with Functional Confounders
Aahlad Puli · Adler Perotte · Rajesh Ranganath
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #787
Counterfactual Prediction for Bundle Treatment
Hao Zou · Peng Cui · Bo Li · Zheyan Shen · Jianxin Ma · Hongxia Yang · Yue He
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #788
Minimax Estimation of Conditional Moment Models
Nishanth Dikkala · Greg Lewis · Lester Mackey · Vasilis Syrgkanis
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #789
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
Masatoshi Uehara · Masahiro Kato · Shota Yasui
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #790
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
Victor Veitch · Anisha Zaveri
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #791
Multi-task Causal Learning with Gaussian Processes
Virginia Aglietti · Theodoros Damoulas · Mauricio Álvarez · Javier González
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #792
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes · Evi Sijben · Ioan Gabriel Bucur · Tom Claassen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #793
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Amir-Hossein Karimi · Julius von Kügelgen · Bernhard Schölkopf · Isabel Valera
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #794
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen · Chen Liang · Adams Wei Yu · Dawn Song · Denny Zhou
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #795
Learning Invariants through Soft Unification
Nuri Cingillioglu · Alessandra Russo
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #796
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew Painter · Adam Prugel-Bennett · Jonathon Hare
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #797
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss · Tianyi Zhang · Ethan Elenberg · Kilian Weinberger
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #798
A Bayesian Nonparametrics View into Deep Representations
Michał Jamroż · Marcin Kurdziel · Mateusz Opala
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #799
Learning Invariances in Neural Networks from Training Data
Gregory Benton · Marc Finzi · Pavel Izmailov · Andrew Wilson
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #800
Inverse Learning of Symmetries
Mario Wieser · Sonali Parbhoo · Aleksander Wieczorek · Volker Roth
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #801
Post-training Iterative Hierarchical Data Augmentation for Deep Networks
Adil Khan · Khadija Fraz
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #802
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
Sajad Norouzi · David Fleet · Mohammad Norouzi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #803
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Amina Mollaysa · Brooks Paige · Alexandros Kalousis
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #804
CoSE: Compositional Stroke Embeddings
Emre Aksan · Thomas Deselaers · Andrea Tagliasacchi · Otmar Hilliges
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #805
A Causal View on Robustness of Neural Networks
Cheng Zhang · Kun Zhang · Yingzhen Li
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #806
Regularizing Towards Permutation Invariance In Recurrent Models
Edo Cohen-Karlik · Avichai Ben David · Amir Globerson
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #807
STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks
Meiyi Ma · Ji Gao · Lu Feng · John A Stankovic
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #808
Generative causal explanations of black-box classifiers
Matthew O'Shaughnessy · Gregory Canal · Marissa Connor · Christopher Rozell · Mark Davenport
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #809
Assessing SATNet's Ability to Solve the Symbol Grounding Problem
Oscar Chang · Lampros Flokas · Hod Lipson · Michael Spranger
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #810
Towards Better Generalization of Adaptive Gradient Methods
Yingxue Zhou · Belhal Karimi · Jinxing Yu · Zhiqiang Xu · Ping Li
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #811
Adam with Bandit Sampling for Deep Learning
Rui Liu · Tianyi Wu · Barzan Mozafari
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #812
Random Reshuffling: Simple Analysis with Vast Improvements
Konstantin Mishchenko · Ahmed Khaled Ragab Bayoumi · Peter Richtarik
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #813
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #814
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates
Kaiwen Zhou · Anthony Man-Cho So · James Cheng
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #815
A Catalyst Framework for Minimax Optimization
Junchi Yang · Siqi Zhang · Negar Kiyavash · Niao He
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #816
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
Junchi Yang · Negar Kiyavash · Niao He
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #817
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
Panayotis Mertikopoulos · Nadav Hallak · Ali Kavis · Volkan Cevher
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #818
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
Quoc Tran Dinh · Deyi Liu · Lam Nguyen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #819
An Improved Analysis of Stochastic Gradient Descent with Momentum
Yanli Liu · Yuan Gao · Wotao Yin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #820
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
Kevin Scaman · Cedric Malherbe
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #821
Online Robust Regression via SGD on the l1 loss
Scott Pesme · Nicolas Flammarion
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #822
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov · Marina Danilova · Alexander Gasnikov
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #823
Large-Scale Methods for Distributionally Robust Optimization
Daniel Levy · Yair Carmon · John Duchi · Aaron Sidford
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #824
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Dheeraj Nagaraj · Xian Wu · Guy Bresler · Prateek Jain · Praneeth Netrapalli
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #825
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo · Haishan Ye · Zhichao Huang · Tong Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #826
Provable Overlapping Community Detection in Weighted Graphs
Jimit Majmudar · Stephen Vavasis
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #827
Improving Inference for Neural Image Compression
Yibo Yang · Robert Bamler · Stephan Mandt
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #828
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie · Zhiding Yu · Lei Mao · Ankit Patel · Yuke Zhu · Anima Anandkumar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #829
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
Giacomo Meanti · Luigi Carratino · Lorenzo Rosasco · Alessandro Rudi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #830
Discovering conflicting groups in signed networks
Ruo-Chun Tzeng · Bruno Ordozgoiti · Aristides Gionis
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #831
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
Guangmo Tong
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #832
Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah · Eric Zhan · Jennifer J Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #833
Neural Execution Engines: Learning to Execute Subroutines
Yujun Yan · Kevin Swersky · Danai Koutra · Parthasarathy Ranganathan · Milad Hashemi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #834
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
Raeid Saqur · Karthik Narasimhan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #835
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Caglar Gulcehre · Ziyu Wang · Alexander Novikov · Thomas Paine · Sergio Gómez · Konrad Zolna · Rishabh Agarwal · Josh Merel · Daniel Mankowitz · Cosmin Paduraru · Gabriel Dulac-Arnold · Jerry Li · Mohammad Norouzi · Matthew Hoffman · Nicolas Heess · Nando de Freitas
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #836
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology
Mark Veillette · Siddharth Samsi · Chris Mattioli
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #837
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
William Moses · Valentin Churavy
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #838
Fast geometric learning with symbolic matrices
Jean Feydy · Alexis Glaunès · Benjamin Charlier · Michael Bronstein
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #839
Synbols: Probing Learning Algorithms with Synthetic Datasets
Alexandre Lacoste · Pau Rodríguez López · Frederic Branchaud-Charron · Parmida Atighehchian · Massimo Caccia · Issam Hadj Laradji · Alexandre Drouin · Matthew Craddock · Laurent Charlin · David Vázquez
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #840
Evaluating Attribution for Graph Neural Networks
Benjamin Sanchez-Lengeling · Jennifer Wei · Brian Lee · Emily Reif · Peter Wang · Wesley Qian · Kevin McCloskey · Lucy Colwell · Alexander Wiltschko
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #841
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton · iuri frosio
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #842
Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri · Iman Tabrizian · Ilia Markov · Dan Alistarh · Daniel Roy · Ali Ramezani-Kebrya
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #843
Universally Quantized Neural Compression
Eirikur Agustsson · Lucas Theis
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #844
Searching for Low-Bit Weights in Quantized Neural Networks
Zhaohui Yang · Yunhe Wang · Kai Han · Chunjing XU · Chao Xu · Dacheng Tao · Chang Xu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #845
Bayesian Bits: Unifying Quantization and Pruning
Mart van Baalen · Christos Louizos · Markus Nagel · Rana Ali Amjad · Ying Wang · Tijmen Blankevoort · Max Welling
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #846
FleXOR: Trainable Fractional Quantization
Dongsoo Lee · Se Jung Kwon · Byeongwook Kim · Yongkweon Jeon · Baeseong Park · Jeongin Yun
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #847
Robust Quantization: One Model to Rule Them All
moran shkolnik · Brian Chmiel · Ron Banner · Gil Shomron · Yury Nahshan · Alex Bronstein · Uri Weiser
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #848
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Jianfei Chen · Yu Gai · Zhewei Yao · Michael Mahoney · Joseph Gonzalez
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #849
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Andres Potapczynski · Gabriel Loaiza-Ganem · John Cunningham
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #850
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
Zhe Dong · Andriy Mnih · George Tucker
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #851
Efficient semidefinite-programming-based inference for binary and multi-class MRFs
Chirag Pabbaraju · Po-Wei Wang · J. Zico Kolter
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #852
Gradient Estimation with Stochastic Softmax Tricks
Max Paulus · Dami Choi · Danny Tarlow · Andreas Krause · Chris Maddison
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #853
Quantized Variational Inference
Amir Dib
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #854
Approximation Based Variance Reduction for Reparameterization Gradients
Tomas Geffner · Justin Domke
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #855
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter · Ayman Boustati · Nikolas Nüsken · Francisco Ruiz · Omer Deniz Akyildiz
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #856
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
Valentin Liévin · Andrea Dittadi · Anders Christensen · Ole Winther
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #857
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Qian Lou · Song Bian · Lei Jiang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #858
Group-Fair Online Allocation in Continuous Time
Semih Cayci · Swati Gupta · Atilla Eryilmaz
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #859
Fair Hierarchical Clustering
Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Benjamin Moseley · Philip Pham · Sergei Vassilvitskii · Yuyan Wang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #860
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
Harikrishna Narasimhan · Andrew Cotter · Yichen Zhou · Serena Wang · Wenshuo Guo
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #861
Metric-Free Individual Fairness in Online Learning
Yahav Bechavod · Christopher Jung · Steven Wu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #862
Fair regression via plug-in estimator and recalibration with statistical guarantees
Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #863
Fair Multiple Decision Making Through Soft Interventions
Yaowei Hu · Yongkai Wu · Lu Zhang · Xintao Wu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #864
Intra-Processing Methods for Debiasing Neural Networks
Yash Savani · Colin White · Naveen Sundar Govindarajulu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #865
Ensuring Fairness Beyond the Training Data
Debmalya Mandal · Samuel Deng · Suman Jana · Jeannette Wing · Daniel Hsu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #866
Fair Performance Metric Elicitation
Gaurush Hiranandani · Harikrishna Narasimhan · Sanmi Koyejo
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #867
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti · Alex Beutel · Jilin Chen · Kang Lee · Flavien Prost · Nithum Thain · Xuezhi Wang · Ed Chi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #868
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
Luca Oneto · Michele Donini · Giulia Luise · Carlo Ciliberto · Andreas Maurer · Massimiliano Pontil
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #869
How do fair decisions fare in long-term qualification?
Xueru Zhang · Ruibo Tu · Yang Liu · Mingyan Liu · Hedvig Kjellstrom · Kun Zhang · Cheng Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #870
Fair regression with Wasserstein barycenters
Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #871
Learning Certified Individually Fair Representations
Anian Ruoss · Mislav Balunovic · Marc Fischer · Martin Vechev
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #872
Fairness with Overlapping Groups; a Probabilistic Perspective
Forest Yang · Mouhamadou M Cisse · Sanmi Koyejo
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #873
Consistent Plug-in Classifiers for Complex Objectives and Constraints
Shiv Kumar Tavker · Harish Guruprasad Ramaswamy · Harikrishna Narasimhan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #874
Causal Discovery in Physical Systems from Videos
Yunzhu Li · Antonio Torralba · Anima Anandkumar · Dieter Fox · Animesh Garg
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #875
Causal Imitation Learning With Unobserved Confounders
Junzhe Zhang · Daniel Kumor · Elias Bareinboim
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #876
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus · Matt Kusner · Ricardo Silva
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #877
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan Gamella · Christina Heinze-Deml
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #878
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
Amin Jaber · Murat Kocaoglu · Karthikeyan Shanmugam · Elias Bareinboim
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #879
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski · Daniel Coelho de Castro · Ben Glocker
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #880
Reconsidering Generative Objectives For Counterfactual Reasoning
Danni Lu · Chenyang Tao · Junya Chen · Fan Li · Feng Guo · Lawrence Carin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #881
High-recall causal discovery for autocorrelated time series with latent confounders
Andreas Gerhardus · Jakob Runge
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #882
Applications of Common Entropy for Causal Inference
Murat Kocaoglu · Sanjay Shakkottai · Alex Dimakis · Constantine Caramanis · Sriram Vishwanath
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #883
Entropic Causal Inference: Identifiability and Finite Sample Results
Spencer Compton · Murat Kocaoglu · Kristjan Greenewald · Dmitriy Katz
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #884
General Transportability of Soft Interventions: Completeness Results
Juan Correa · Elias Bareinboim
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #885
Learning Causal Effects via Weighted Empirical Risk Minimization
Yonghan Jung · Jin Tian · Elias Bareinboim
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #886
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard · Sébastien Lachapelle · Alexandre Lacoste · Simon Lacoste-Julien · Alexandre Drouin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #887
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
Feng Xie · Ruichu Cai · Biwei Huang · Clark Glymour · Zhifeng Hao · Kun Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #888
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
Junsouk Choi · Robert Chapkin · Yang Ni
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #889
A polynomial-time algorithm for learning nonparametric causal graphs
Ming Gao · Yi Ding · Bryon Aragam
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #890
Linear Time Sinkhorn Divergences using Positive Features
Meyer Scetbon · Marco Cuturi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #891
Learning Kernel Tests Without Data Splitting
Jonas Kübler · Wittawat Jitkrittum · Bernhard Schölkopf · Krikamol Muandet
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #892
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces
Akash Saha · Balamurugan Palaniappan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #893
A kernel test for quasi-independence
Tamara Fernandez · Wenkai Xu · Marc Ditzhaus · Arthur Gretton
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #894
Hard Shape-Constrained Kernel Machines
Pierre-Cyril Aubin-Frankowski · Zoltan Szabo
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #895
Statistical Optimal Transport posed as Learning Kernel Embedding
Saketha Nath Jagarlapudi · Pratik Kumar Jawanpuria
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #896
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang · Rodrigo Fonseca · Yuandong Tian
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #897
Continuous Regularized Wasserstein Barycenters
Lingxiao Li · Aude Genevay · Mikhail Yurochkin · Justin Solomon
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #898
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
Hicham Janati · Boris Muzellec · Gabriel Peyré · Marco Cuturi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #899
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
Shibo Li · Wei Xing · Robert Kirby · Shandian Zhe
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #900
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Ben Letham · Roberto Calandra · Akshara Rai · Eytan Bakshy
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #901
Hybrid Models for Learning to Branch
Prateek Gupta · Maxime Gasse · Elias Khalil · Pawan K Mudigonda · Andrea Lodi · Yoshua Bengio
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #902
Interior Point Solving for LP-based prediction+optimisation
Jayanta Mandi · Tias Guns
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #903
Curriculum learning for multilevel budgeted combinatorial problems
Adel Nabli · Margarida Carvalho
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #904
BOSS: Bayesian Optimization over String Spaces
Henry Moss · David Leslie · Daniel Beck · Javier González · Paul Rayson
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #905
An implicit function learning approach for parametric modal regression
Yangchen Pan · Ehsan Imani · Amir-massoud Farahmand · Martha White
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #906
Adversarial Example Games
Joey Bose · Gauthier Gidel · Hugo Berard · Andre Cianflone · Pascal Vincent · Simon Lacoste-Julien · Will Hamilton
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #907
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang · Tianlong Chen · Ting Chen · Zhangyang Wang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #908
Provably Robust Metric Learning
Lu Wang · Xuanqing Liu · Jinfeng Yi · Yuan Jiang · Cho-Jui Hsieh
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #909
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses
Ambar Pal · Rene Vidal
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #910
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
Kevin Roth · Yannic Kilcher · Thomas Hofmann
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #911
Adversarial Robustness of Supervised Sparse Coding
Jeremias Sulam · Ramchandran Muthukumar · Raman Arora
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #912
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang · Xiao Yang · Yinpeng Dong · Kun Xu · Jun Zhu · Hang Su
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #913
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu · Mathieu Salzmann · Tao Lin · Ryota Tomioka · Sabine Süsstrunk
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #914
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Huanrui Yang · Jingyang Zhang · Hongliang Dong · Nathan Inkawhich · Andrew Gardner · Andrew Touchet · Wesley Wilkes · Heath Berry · Hai Li
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #915
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang · Kartik Sreenivasan · Shashank Rajput · Harit Vishwakarma · Saurabh Agarwal · Jy-yong Sohn · Kangwook Lee · Dimitris Papailiopoulos
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #916
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach
Micah Goldblum · Liam Fowl · Tom Goldstein
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #917
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Gaurang Sriramanan · Sravanti Addepalli · Arya Baburaj · Venkatesh Babu R
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #918
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
Nathan Inkawhich · Kevin J Liang · Binghui Wang · Matthew Inkawhich · Lawrence Carin · Yiran Chen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #919
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Ginevra Carbone · Matthew Wicker · Luca Laurenti · Andrea Patane' · Luca Bortolussi · Guido Sanguinetti
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #920
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #921
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramer · Nicholas Carlini · Wieland Brendel · Aleksander Madry
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #922
High-Fidelity Generative Image Compression
Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #923
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu · Yongqin Xian · Jiuniu Wang · Bernt Schiele · Zeynep Akata
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #924
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat · Idan Schwartz · Alex Schwing · Tamir Hazan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #925
Variational Interaction Information Maximization for Cross-domain Disentanglement
HyeongJoo Hwang · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #926
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Huan Fu · Shunming Li · Rongfei Jia · Mingming Gong · Binqiang Zhao · Dacheng Tao
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #927
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li · Richard Zhang · Jingwan (Cynthia) Lu · Eli Shechtman
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #928
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
yaxing wang · Lu Yu · Joost van de Weijer
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #929
Generating Correct Answers for Progressive Matrices Intelligence Tests
Niv Pekar · Yaniv Benny · Lior Wolf
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #930
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
Tiziano Portenier · Siavash Arjomand Bigdeli · Orcun Goksel
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #931
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach · Patrick Esser · Bjorn Ommer
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #932
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
Bowen Li · Xiaojuan Qi · Philip Torr · Thomas Lukasiewicz
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #933
Instance Selection for GANs
Terrance DeVries · Michal Drozdzal · Graham Taylor
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #934
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina · Ruth Fong · Andrea Vedaldi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #935
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Cher Bass · Mariana da Silva · Carole Sudre · Petru-Daniel Tudosiu · Stephen Smith · Emma Robinson
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #936
Smoothed Geometry for Robust Attribution
Zifan Wang · Haofan Wang · Shakul Ramkumar · Piotr Mardziel · Matt Fredrikson · Anupam Datta
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #937
Neural Networks with Recurrent Generative Feedback
Yujia Huang · James Gornet · Sihui Dai · Zhiding Yu · Tan Nguyen · Doris Tsao · Anima Anandkumar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #938
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu · Li Kevin Wenliang · Michael Munn · Beatrice Acciaio
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #939
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
Ilyes Khemakhem · Ricardo Monti · Diederik Kingma · Aapo Hyvarinen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #940
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control
Yaofeng Desmond Zhong · Naomi Leonard
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #941
Implicit Rank-Minimizing Autoencoder
Li Jing · Jure Zbontar · yann lecun
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #942
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data
Utkarsh Ojha · Krishna Kumar Singh · Cho-Jui Hsieh · Yong Jae Lee
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #943
Set2Graph: Learning Graphs From Sets
Hadar Serviansky · Nimrod Segol · Jonathan Shlomi · Kyle Cranmer · Eilam Gross · Haggai Maron · Yaron Lipman
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #944
Efficient Generation of Structured Objects with Constrained Adversarial Networks
Luca Di Liello · Pierfrancesco Ardino · Jacopo Gobbi · Paolo Morettin · Stefano Teso · Andrea Passerini
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #945
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
Yue Wu · Pan Zhou · Andrew Wilson · Eric Xing · Zhiting Hu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #946
Regularized linear autoencoders recover the principal components, eventually
Xuchan Bao · James Lucas · Sushant Sachdeva · Roger Grosse
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #947
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud · Ismail Ceylan · Thomas Lukasiewicz · Tommaso Salvatori
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #948
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
Thu Nguyen-Phuoc · Christian Richardt · Long Mai · Yongliang Yang · Niloy Mitra
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #949
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
Nanbo Li · Cian Eastwood · Robert Fisher
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #950
Deep Statistical Solvers
Balthazar Donon · Zhengying Liu · Wenzhuo LIU · Isabelle Guyon · Antoine Marot · Marc Schoenauer
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #951
Learning of Discrete Graphical Models with Neural Networks
Abhijith Jayakumar · Andrey Lokhov · Sidhant Misra · Marc Vuffray
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #952
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
Gonçalo Correia · Vlad Niculae · Wilker Aziz · André Martins
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #953
Falcon: Fast Spectral Inference on Encrypted Data
Qian Lou · Wen-jie Lu · Cheng Hong · Lei Jiang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #954
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um · Robert Brand · Yun (Raymond) Fei · Philipp Holl · Nils Thuerey
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #955
Learning Composable Energy Surrogates for PDE Order Reduction
Alex Beatson · Jordan Ash · Geoffrey Roeder · Tianju Xue · Ryan Adams
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #956
AvE: Assistance via Empowerment
Yuqing Du · Stas Tiomkin · Emre Kiciman · Daniel Polani · Pieter Abbeel · Anca Dragan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #957
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints
Sachin Chauhan · Kashish Bansal · Rijurekha Sen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #958
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
Chaochao Yan · Qianggang Ding · Peilin Zhao · Shuangjia Zheng · JINYU YANG · Yang Yu · Junzhou Huang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #959
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw · Brooks Paige · Matt Kusner · Marwin Segler · José Miguel Hernández-Lobato
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #960
Synthesizing Tasks for Block-based Programming
Umair Ahmed · Maria Christakis · Aleksandr Efremov · Nigel Fernandez · Ahana Ghosh · Abhik Roychoudhury · Adish Singla
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #961
Deep Imitation Learning for Bimanual Robotic Manipulation
Fan Xie · Alexander Chowdhury · M. Clara De Paolis Kaluza · Linfeng Zhao · Lawson Wong · Rose Yu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #962
PRANK: motion Prediction based on RANKing
Yuriy Biktairov · Maxim Stebelev · Irina Rudenko · Oleh Shliazhko · Boris Yangel
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #963
Meta-trained agents implement Bayes-optimal agents
Vladimir Mikulik · Grégoire Delétang · Tom McGrath · Tim Genewein · Miljan Martic · Shane Legg · Pedro Ortega
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #964
On the equivalence of molecular graph convolution and molecular wave function with poor basis set
Masashi Tsubaki · Teruyasu Mizoguchi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #965
Dynamic allocation of limited memory resources in reinforcement learning
Nisheet Patel · Luigi Acerbi · Alexandre Pouget
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #966
Ensembling geophysical models with Bayesian Neural Networks
Ushnish Sengupta · Matt Amos · Scott Hosking · Carl Edward Rasmussen · Matthew Juniper · Paul Young
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #967
Neurosymbolic Transformers for Multi-Agent Communication
Jeevana Priya Inala · Yichen Yang · James Paulos · Yewen Pu · Osbert Bastani · Vijay Kumar · Martin Rinard · Armando Solar-Lezama
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #968
Avoiding Side Effects By Considering Future Tasks
Victoria Krakovna · Laurent Orseau · Richard Ngo · Miljan Martic · Shane Legg
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #969
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes
Herman Yau · Chris Russell · Simon Hadfield
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #970
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
Jing Shi · Xuankai Chang · Pengcheng Guo · Shinji Watanabe · Yusuke Fujita · Jiaming Xu · Bo Xu · Lei Xie
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #971
Learning Mutational Semantics
Brian Hie · Ellen Zhong · Bryan Bryson · Bonnie Berger
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #972
Zero-Resource Knowledge-Grounded Dialogue Generation
Linxiao Li · Can Xu · Wei Wu · YUFAN ZHAO · Xueliang Zhao · Chongyang Tao
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #973
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment
Yuan Chen · Donglin Zeng · Tianchen Xu · Yuanjia Wang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #974
Causal analysis of Covid-19 Spread in Germany
Atalanti Mastakouri · Bernhard Schölkopf
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #975
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
Ervine Zheng · Qi Yu · Rui Li · Pengcheng Shi · Anne Haake
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #976
X-CAL: Explicit Calibration for Survival Analysis
Mark Goldstein · Xintian Han · Aahlad Puli · Adler Perotte · Rajesh Ranganath
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #977
Experimental design for MRI by greedy policy search
Tim Bakker · Herke van Hoof · Max Welling
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #978
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
Mrinank Sharma · Sören Mindermann · Jan Brauner · Gavin Leech · Anna Stephenson · Tomáš Gavenčiak · Jan Kulveit · Yee Whye Teh · Leonid Chindelevitch · Yarin Gal
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #979
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
Jeroen Berrevoets · James Jordon · Ioana Bica · alexander gimson · Mihaela van der Schaar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #980
When Counterpoint Meets Chinese Folk Melodies
Nan Jiang · Sheng Jin · Zhiyao Duan · Changshui Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #981
BERT Loses Patience: Fast and Robust Inference with Early Exit
Wangchunshu Zhou · Canwen Xu · Tao Ge · Julian McAuley · Ke Xu · Furu Wei
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #982
Unsupervised Text Generation by Learning from Search
Jingjing Li · Zichao Li · Lili Mou · Xin Jiang · Michael R Lyu · Irwin King
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #983
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Alon Talmor · Oyvind Tafjord · Peter Clark · Yoav Goldberg · Jonathan Berant
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #984
A Spectral Energy Distance for Parallel Speech Synthesis
Alexey Gritsenko · Tim Salimans · Rianne van den Berg · Jasper Snoek · Nal Kalchbrenner
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #985
Compositional Generalization by Learning Analytical Expressions
Qian Liu · Shengnan An · Jian-Guang Lou · Bei Chen · Zeqi Lin · Yan Gao · Bin Zhou · Nanning Zheng · Dongmei Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #986
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
Junhyung Park · Krikamol Muandet
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #987
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #988
Fourier Sparse Leverage Scores and Approximate Kernel Learning
Tamas Erdelyi · Cameron Musco · Christopher Musco
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #989
Demystifying Orthogonal Monte Carlo and Beyond
Han Lin · Haoxian Chen · Krzysztof M Choromanski · Tianyi Zhang · Clement Laroche
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #990
Unfolding recurrence by Green’s functions for optimized reservoir computing
Sandra Nestler · Christian Keup · David Dahmen · Matthieu Gilson · Holger Rauhut · Moritz Helias
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #991
A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen · Edgar Dobriban · Jane Lee
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #992
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition
Ben Adlam · Jeffrey Pennington
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #993
Triple descent and the two kinds of overfitting: where & why do they appear?
Stéphane d'Ascoli · Levent Sagun · Giulio Biroli
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #994
The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler · Francesca Mastrogiuseppe · Alexis Dubreuil · Srdjan Ostojic · Omri Barak
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #995
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent
Zhenyu Liao · Romain Couillet · Michael Mahoney
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #996
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani · Song Mei · Theodor Misiakiewicz · Andrea Montanari
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #997
The Statistical Cost of Robust Kernel Hyperparameter Turning
Raphael Meyer · Christopher Musco
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #998
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model
Yiwei Shen · Pierre C Bellec
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #999
Randomized tests for high-dimensional regression: A more efficient and powerful solution
Yue Li · Ilmun Kim · Yuting Wei
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1000
Sample complexity and effective dimension for regression on manifolds
Andrew McRae · Justin Romberg · Mark Davenport
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1001
An analytic theory of shallow networks dynamics for hinge loss classification
Franco Pellegrini · Giulio Biroli
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1002
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
Matthew Faw · Rajat Sen · Karthikeyan Shanmugam · Constantine Caramanis · Sanjay Shakkottai
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1003
One-bit Supervision for Image Classification
Hengtong Hu · Lingxi Xie · Zewei Du · Richang Hong · Qi Tian
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1004
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Naveen Venkat · Jogendra Nath Kundu · Durgesh Singh · Ambareesh Revanur · Venkatesh Babu R
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1005
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu · Jonathan Niles-Weed · Narges Razavian · Carlos Fernandez-Granda
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1006
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
Dat Huynh · Ehsan Elhamifar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1007
Universal Domain Adaptation through Self Supervision
Kuniaki Saito · Donghyun Kim · Stan Sclaroff · Kate Saenko
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1008
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes · Han Zhao · Yu-Xiang Wang · Geoffrey Gordon
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1009
A causal view of compositional zero-shot recognition
Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1010
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani · Ajinkya Tejankar · Hamed Pirsiavash
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1011
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen · Simon Kornblith · Kevin Swersky · Mohammad Norouzi · Geoffrey E Hinton
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1012
Provably Consistent Partial-Label Learning
Lei Feng · Jiaqi Lv · Bo Han · Miao Xu · Gang Niu · Xin Geng · Bo An · Masashi Sugiyama
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1013
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
Weishi Shi · Xujiang Zhao · Feng Chen · Qi Yu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1014
Unsupervised Translation of Programming Languages
Baptiste Roziere · Marie-Anne Lachaux · Lowik Chanussot · Guillaume Lample
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1015
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata Mukherjee · Ahmed Awadallah
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1016
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Di Hu · Rui Qian · Minyue Jiang · Xiao Tan · Shilei Wen · Errui Ding · Weiyao Lin · Dejing Dou
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1017
Teaching a GAN What Not to Learn
Siddarth Asokan · Chandra Seelamantula
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1018
A Randomized Algorithm to Reduce the Support of Discrete Measures
Francesco Cosentino · Harald Oberhauser · Alessandro Abate
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1019
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits
Pierre Perrault · Etienne Boursier · Michal Valko · Vianney Perchet
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1021
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games
Arun Suggala · Praneeth Netrapalli
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1022
Better Full-Matrix Regret via Parameter-Free Online Learning
Ashok Cutkosky
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1023
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij · Nicolò Cesa-Bianchi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1024
Online Learning with Primary and Secondary Losses
Avrim Blum · Han Shao
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1025
Online Linear Optimization with Many Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1026
Exploiting the Surrogate Gap in Online Multiclass Classification
Dirk van der Hoeven
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1027
Temporal Variability in Implicit Online Learning
Nicolò Campolongo · Francesco Orabona
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1028
Prediction with Corrupted Expert Advice
Idan Amir · Idan Attias · Tomer Koren · Yishay Mansour · Roi Livni
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1029
A mathematical model for automatic differentiation in machine learning
Jérôme Bolte · Edouard Pauwels
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1030
Online Non-Convex Optimization with Imperfect Feedback
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud Rahier
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1031
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
Ayoub El Hanchi · David Stephens
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1032
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1033
Learning Strategy-Aware Linear Classifiers
Yiling Chen · Yang Liu · Chara Podimata
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1034
BRP-NAS: Prediction-based NAS using GCNs
Lukasz Dudziak · Thomas Chau · Mohamed Abdelfattah · Royson Lee · Hyeji Kim · Nicholas Lane
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1035
Neural Architecture Generator Optimization
Robin Ru · Pedro Esperança · Fabio Maria Carlucci
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1036
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Han Shi · Renjie Pi · Hang Xu · Zhenguo Li · James Kwok · Tong Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1037
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning
Hao Zhang · Yuan Li · Zhijie Deng · Xiaodan Liang · Lawrence Carin · Eric Xing
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1038
Agnostic Learning with Multiple Objectives
Corinna Cortes · Mehryar Mohri · Javier Gonzalvo · Dmitry Storcheus
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1039
Training Stronger Baselines for Learning to Optimize
Tianlong Chen · Weiyi Zhang · Zhou Jingyang · Shiyu Chang · Sijia Liu · Lisa Amini · Zhangyang Wang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1040
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
John Halloran · David M Rocke
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1041
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He · Murali Annavaram · Salman Avestimehr
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1042
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis · Nicolo Fusi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1043
Efficient Algorithms for Device Placement of DNN Graph Operators
Jakub Tarnawski · Amar Phanishayee · Nikhil Devanur · Divya Mahajan · Fanny Nina Paravecino
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1044
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Kai Wang · Bryan Wilder · Andrew Perrault · Milind Tambe
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1045
Bayesian Optimization for Iterative Learning
Vu Nguyen · Sebastian Schulze · Michael A Osborne
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1046
Model Selection for Production System via Automated Online Experiments
Zhenwen Dai · Praveen Chandar · Ghazal Fazelnia · Benjamin Carterette · Mounia Lalmas
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1047
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations
Rohan Paleja · Andrew Silva · Letian Chen · Matthew Gombolay
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1048
CryptoNAS: Private Inference on a ReLU Budget
Zahra Ghodsi · Akshaj Kumar Veldanda · Brandon Reagen · Siddharth Garg
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1049
Neural Power Units
Niklas Heim · Tomas Pevny · Vasek Smidl
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1050
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations
Mina Konakovic Lukovic · Yunsheng Tian · Wojciech Matusik
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1051
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
Noémie Jaquier · Leonel Rozo
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1052
Learning Feature Sparse Principal Subspace
Lai Tian · Feiping Nie · Rong Wang · Xuelong Li
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1053
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine
Jiajin Li · Caihua Chen · Anthony Man-Cho So
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1054
Stochastic Optimization with Laggard Data Pipelines
Naman Agarwal · Rohan Anil · Tomer Koren · Kunal Talwar · Cyril Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1055
Black-Box Optimization with Local Generative Surrogates
Sergey Shirobokov · Vladislav Belavin · Michael Kagan · Andrei Ustyuzhanin · Atilim Gunes Baydin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1056
Learning Linear Programs from Optimal Decisions
Yingcong Tan · Daria Terekhov · Andrew Delong
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1057
Acceleration with a Ball Optimization Oracle
Yair Carmon · Arun Jambulapati · Qijia Jiang · Yujia Jin · Yin Tat Lee · Aaron Sidford · Kevin Tian
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1058
Convex optimization based on global lower second-order models
Nikita Doikov · Yurii Nesterov
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1059
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
Hassan Mortagy · Swati Gupta · Sebastian Pokutta
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1060
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity
Dan Garber
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1061
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
Hung Tran-The · Sunil Gupta · Santu Rana · Huong Ha · Svetha Venkatesh
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1062
An efficient nonconvex reformulation of stagewise convex optimization problems
Rudy Bunel · Oliver Hinder · Srinadh Bhojanapalli · Krishnamurthy Dvijotham
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1063
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu · Meisam Razaviyayn · Bo Yang · Kejun Huang · Mingyi Hong
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1064
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat · Brian Karrer · Daniel Jiang · Samuel Daulton · Ben Letham · Andrew Wilson · Eytan Bakshy
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1065
First-Order Methods for Large-Scale Market Equilibrium Computation
Yuan Gao · Christian Kroer
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1066
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Han Zhao · Jianfeng Chi · Yuan Tian · Geoffrey Gordon
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1067
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1068
Deep Smoothing of the Implied Volatility Surface
Damien Ackerer · Natasa Tagasovska · Thibault Vatter
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1069
What went wrong and when? Instance-wise feature importance for time-series black-box models
Sana Tonekaboni · Shalmali Joshi · Kieran Campbell · David Duvenaud · Anna Goldenberg
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1070
Learning from Failure: De-biasing Classifier from Biased Classifier
Junhyun Nam · Hyuntak Cha · Sungsoo Ahn · Jaeho Lee · Jinwoo Shin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1071
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye · Colin Rowat · Ilya Feige
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1072
Learning Global Transparent Models consistent with Local Contrastive Explanations
Tejaswini Pedapati · Avinash Balakrishnan · Karthikeyan Shanmugam · Amit Dhurandhar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1073
Towards Safe Policy Improvement for Non-Stationary MDPs
Yash Chandak · Scott Jordan · Georgios Theocharous · Martha White · Philip Thomas
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1074
Decisions, Counterfactual Explanations and Strategic Behavior
Stratis Tsirtsis · Manuel Gomez Rodriguez
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1075
From Predictions to Decisions: Using Lookahead Regularization
Nir Rosenfeld · Anna Hilgard · Sai Srivatsa Ravindranath · David Parkes
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1076
Model Agnostic Multilevel Explanations
Karthikeyan Natesan Ramamurthy · Bhanukiran Vinzamuri · Yunfeng Zhang · Amit Dhurandhar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1077
Achieving Equalized Odds by Resampling Sensitive Attributes
Yaniv Romano · Stephen Bates · Emmanuel Candes
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1078
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb · Maruan Al-Shedivat · Ángel Alexander Cabrera · Adam Perer · Eric Xing · Ameet Talwalkar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1079
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Qian Lou · Bo Feng · Geoffrey Charles Fox · Lei Jiang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1080
MetaPoison: Practical General-purpose Clean-label Data Poisoning
W. Ronny Huang · Jonas Geiping · Liam Fowl · Gavin Taylor · Tom Goldstein
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1081
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen · Steven Wu · Mingyi Hong
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1082
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos · Mojmir Mutny · Andreas Krause
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1083
Linear Dynamical Systems as a Core Computational Primitive
Shiva Kaul
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1084
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits
Mo Tiwari · Martin Zhang · James J Mayclin · Sebastian Thrun · Chris Piech · Ilan Shomorony
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1085
Sliding Window Algorithms for k-Clustering Problems
Michele Borassi · Alessandro Epasto · Silvio Lattanzi · Sergei Vassilvitskii · Morteza Zadimoghaddam
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1086
Fast and Accurate $k$-means++ via Rejection Sampling
Vincent Cohen-Addad · Silvio Lattanzi · Ashkan Norouzi-Fard · Christian Sohler · Ola Svensson
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1087
NeuMiss networks: differentiable programming for supervised learning with missing values.
Marine Le Morvan · Julie Josse · Thomas Moreau · Erwan Scornet · Gael Varoquaux
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1088
Debiasing Averaged Stochastic Gradient Descent to handle missing values
Aude Sportisse · Claire Boyer · Aymeric Dieuleveut · Julie Josse
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1089
Coresets for Near-Convex Functions
Murad Tukan · Alaa Maalouf · Dan Feldman
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1091
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu · Tri Dao · Stefano Ermon · Atri Rudra · Christopher Ré
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1092
Online MAP Inference of Determinantal Point Processes
Aditya Bhaskara · Amin Karbasi · Silvio Lattanzi · Morteza Zadimoghaddam
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1093
Joints in Random Forests
Alvaro Correia · Robert Peharz · Cassio de Campos
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1094
Approximate Cross-Validation for Structured Models
Soumya Ghosh · Will Stephenson · Tin Nguyen · Sameer Deshpande · Tamara Broderick
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1095
A convex optimization formulation for multivariate regression
Yunzhang Zhu
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1096
Adaptive Reduced Rank Regression
Qiong Wu · Felix MF Wong · Yanhua Li · Zhenming Liu · Varun Kanade
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1097
Self-Distillation Amplifies Regularization in Hilbert Space
Hossein Mobahi · Mehrdad Farajtabar · Peter Bartlett
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1098
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
Kaixuan Huang · Yuqing Wang · Molei Tao · Tuo Zhao
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1099
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning
Chandrashekar Lakshminarayanan · Amit Vikram Singh
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1100
Explicit Regularisation in Gaussian Noise Injections
Alexander Camuto · Matthew Willetts · Umut Simsekli · Stephen J Roberts · Chris C Holmes
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1101
Rational neural networks
Nicolas Boulle · Yuji Nakatsukasa · Alex Townsend
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1102
On the Similarity between the Laplace and Neural Tangent Kernels
Amnon Geifman · Abhay Yadav · Yoni Kasten · Meirav Galun · David Jacobs · Basri Ronen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1103
Neural Anisotropy Directions
Guillermo Ortiz-Jimenez · Apostolos Modas · Seyed-Mohsen Moosavi · Pascal Frossard
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1104
Ode to an ODE
Krzysztof Choromanski · Jared Quincy Davis · Valerii Likhosherstov · Xingyou Song · Jean-Jacques Slotine · Jacob Varley · Honglak Lee · Adrian Weller · Vikas Sindhwani
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1105
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
Shuxiao Chen · Hangfeng He · Weijie Su
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1106
Limits to Depth Efficiencies of Self-Attention
Yoav Levine · Noam Wies · Or Sharir · Hofit Bata · Amnon Shashua
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1107
On the linearity of large non-linear models: when and why the tangent kernel is constant
Chaoyue Liu · Libin Zhu · Misha Belkin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1108
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
Edward Moroshko · Blake Woodworth · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1109
Directional Pruning of Deep Neural Networks
Shih-Kang Chao · Zhanyu Wang · Yue Xing · Guang Cheng
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1110
Winning the Lottery with Continuous Sparsification
Pedro Savarese · Hugo Silva · Michael Maire
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1111
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
Yossi Arjevani · Michael Field
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1112
On the universality of deep learning
Emmanuel Abbe · Colin Sandon
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1113
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Jonathan Dong · Ruben Ohana · Mushegh Rafayelyan · Florent Krzakala
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1114
The Diversified Ensemble Neural Network
Shaofeng Zhang · Meng Liu · Junchi Yan
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1115
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun · Rameswar Panda · Rogerio Feris · Kate Saenko
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1116
Spin-Weighted Spherical CNNs
Carlos Esteves · Ameesh Makadia · Kostas Daniilidis
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1117
Autoencoders that don't overfit towards the Identity
Harald Steck
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1118
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich · Bernhard Schäfl · Milena Pavlović · Hubert Ramsauer · Lukas Gruber · Markus Holzleitner · Johannes Brandstetter · Geir Kjetil Sandve · Victor Greiff · Sepp Hochreiter · Günter Klambauer
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1119
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree
Kacper Kania · Maciej Zieba · Tomasz Kajdanowicz
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1120
UCLID-Net: Single View Reconstruction in Object Space
Benoit Guillard · Edoardo Remelli · Pascal Fua
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1121
Graph Geometry Interaction Learning
Shichao Zhu · Shirui Pan · Chuan Zhou · Jia Wu · Yanan Cao · Bin Wang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1122
Feature Importance Ranking for Deep Learning
Maksymilian Wojtas · Ke Chen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1123
Introducing Routing Uncertainty in Capsule Networks
Fabio De Sousa Ribeiro · Georgios Leontidis · Stefanos Kollias
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1124
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah · Kaustav Tamuly · Aditi Raghunathan · Prateek Jain · Praneeth Netrapalli
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1125
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano · Antonio Loquercio · Antoni Rosinol · Davide Scaramuzza · Luca Carlone
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1126
The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom · Victor Garcia Satorras · Jakub Tomczak · Max Welling
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1127
Coherent Hierarchical Multi-Label Classification Networks
Eleonora Giunchiglia · Thomas Lukasiewicz
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1128
Differentiable Top-k with Optimal Transport
Yujia Xie · Hanjun Dai · Minshuo Chen · Bo Dai · Tuo Zhao · Hongyuan Zha · Wei Wei · Tomas Pfister
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1129
Proximal Mapping for Deep Regularization
Mao Li · Yingyi Ma · Xinhua Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1130
CSER: Communication-efficient SGD with Error Reset
Cong Xie · Shuai Zheng · Sanmi Koyejo · Indranil Gupta · Mu Li · Haibin Lin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1131
Practical Low-Rank Communication Compression in Decentralized Deep Learning
Thijs Vogels · Sai Praneeth Karimireddy · Martin Jaggi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1132
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
Mingrui Liu · Wei Zhang · Youssef Mroueh · Xiaodong Cui · Jarret Ross · Tianbao Yang · Payel Das
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1133
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking
Isidoros Tziotis · Constantine Caramanis · Aryan Mokhtari
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1134
Distributed Newton Can Communicate Less and Resist Byzantine Workers
Avishek Ghosh · Raj Kumar Maity · Arya Mazumdar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1135
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
Yossi Arjevani · Joan Bruna · Bugra Can · Mert Gurbuzbalaban · Stefanie Jegelka · Hongzhou Lin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1136
Dual-Free Stochastic Decentralized Optimization with Variance Reduction
Hadrien Hendrikx · Francis Bach · Laurent Massoulié
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1137
FedSplit: an algorithmic framework for fast federated optimization
Reese Pathak · Martin Wainwright
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1138
Distributionally Robust Federated Averaging
Yuyang Deng · Mohammad Mahdi Kamani · Mehrdad Mahdavi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1139
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh · Nguyen H. Tran · Josh Nguyen
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1140
Minibatch vs Local SGD for Heterogeneous Distributed Learning
Blake Woodworth · Kumar Kshitij Patel · Nati Srebro
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1141
Minibatch Stochastic Approximate Proximal Point Methods
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1142
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1143
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration
Kevin Scaman · Ludovic DOS SANTOS · Merwan Barlier · Igor Colin
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1144
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Xiangyi Chen · Tiancong Chen · Haoran Sun · Steven Wu · Mingyi Hong
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1145
Linearly Converging Error Compensated SGD
Eduard Gorbunov · Dmitry Kovalev · Dmitry Makarenko · Peter Richtarik
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1253
The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed · Ilias Zadik
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1366
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow
Didrik Nielsen · Ole Winther
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1787
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool
Gellert Weisz · András György · Wei-I Lin · Devon Graham · Kevin Leyton-Brown · Csaba Szepesvari · Brendan Lucier
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1789
Normalizing Kalman Filters for Multivariate Time Series Analysis
Emmanuel de Bézenac · Syama Sundar Rangapuram · Konstantinos Benidis · Michael Bohlke-Schneider · Richard Kurle · Lorenzo Stella · Hilaf Hasson · Patrick Gallinari · Tim Januschowski
[ Paper ]
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1811
Learning Augmented Energy Minimization via Speed Scaling
Etienne Bamas · Andreas Maggiori · Lars Rohwedder · Ola Svensson
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1147
Consistent Structural Relation Learning for Zero-Shot Segmentation
Peike Li · Yunchao Wei · Yi Yang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1148
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation
DONGXU LI · Chenchen Xu · Xin Yu · Kaihao Zhang · Benjamin Swift · Hanna Suominen · Hongdong Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1149
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
Hao Zhu · Chaoyou Fu · Qianyi Wu · Wayne Wu · Chen Qian · Ran He
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1150
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
Chu Zhou · Hang Zhao · Jin Han · Chang Xu · Chao Xu · Tiejun Huang · Boxin Shi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1151
Group Contextual Encoding for 3D Point Clouds
Xu Liu · Chengtao Li · Jian Wang · Jingbo Wang · Boxin Shi · Xiaodong He
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1152
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li · Wenhai Wang · Lijun Wu · Shuo Chen · Xiaolin Hu · Jun Li · Jinhui Tang · Jian Yang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1153
Dual-Resolution Correspondence Networks
Xinghui Li · Kai Han · Shuda Li · Victor Prisacariu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1154
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Jianyuan Wang · Yiran Zhong · Yuchao Dai · Kaihao Zhang · Pan Ji · Hongdong Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1155
Modeling Noisy Annotations for Crowd Counting
Jia Wan · Antoni Chan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1156
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Fan Lu · Guang Chen · Yinlong Liu · Zhongnan Qu · Alois Knoll
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1157
Distribution Matching for Crowd Counting
Boyu Wang · Huidong Liu · Dimitris Samaras · Minh Hoai Nguyen
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1158
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
Ping Hu · Stan Sclaroff · Kate Saenko
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1159
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization
Qi Chen · Lin Sun · Ernest Cheung · Alan Yuille
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1160
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
Cheng Chi · Fangyun Wei · Han Hu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1161
Structured Convolutions for Efficient Neural Network Design
Yash Bhalgat · Yizhe Zhang · Jamie Menjay Lin · Fatih Porikli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1162
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
Lin Lan · Pinghui Wang · Xuefeng Du · Kaikai Song · Jing Tao · Xiaohong Guan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1164
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
Sourav Biswas · Jerry Liu · Kelvin Wong · Shenlong Wang · Raquel Urtasun
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1165
Ultrahyperbolic Representation Learning
Marc Law · Jos Stam
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1166
Reparameterizing Mirror Descent as Gradient Descent
Ehsan Amid · Manfred K. Warmuth
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1167
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek · Dong Bok Lee · Sung Ju Hwang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1168
Handling Missing Data with Graph Representation Learning
Jiaxuan You · Xiaobai Ma · Yi Ding · Mykel J Kochenderfer · Jure Leskovec
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1169
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
Zhanqiu Zhang · Jianyu Cai · Jie Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1170
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao · Yujing Wang · Juanyong Duan · Ce Zhang · Xia Zhu · Congrui Huang · Yunhai Tong · Bixiong Xu · Jing Bai · Jie Tong · Qi Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1171
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network
Lifeng Shen · Zhuocong Li · James Kwok
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1172
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
Jeya Vikranth Jeyakumar · Joseph Noor · Yu-Hsi Cheng · Luis Garcia · Mani Srivastava
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1173
PEP: Parameter Ensembling by Perturbation
Alireza Mehrtash · Purang Abolmaesumi · Polina Golland · Tina Kapur · Demian Wassermann · William Wells
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1174
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Lijing Wang · Dipanjan Ghosh · Maria Gonzalez Diaz · Ahmed Farahat · Mahbubul Alam · Chetan Gupta · Jiangzhuo Chen · Madhav Marathe
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1175
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
Jinseok Kim · Kyungsu Kim · Jae-Joon Kim
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1176
Dirichlet Graph Variational Autoencoder
Jia Li · Jianwei Yu · Jiajin Li · Honglei Zhang · Kangfei Zhao · Yu Rong · Hong Cheng · Junzhou Huang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1177
Gradient Boosted Normalizing Flows
Robert Giaquinto · Arindam Banerjee
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1178
Improved Guarantees for k-means++ and k-means++ Parallel
Konstantin Makarychev · Aravind Reddy · Liren Shan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1179
Estimation of Skill Distribution from a Tournament
Ali Jadbabaie · Anuran Makur · Devavrat Shah
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1180
Transfer Learning via $\ell_1$ Regularization
Masaaki Takada · Hironori Fujisawa
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1181
Robust Meta-learning for Mixed Linear Regression with Small Batches
Weihao Kong · Raghav Somani · Sham Kakade · Sewoong Oh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1182
Efficient Projection-free Algorithms for Saddle Point Problems
Cheng Chen · Luo Luo · Weinan Zhang · Yong Yu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1183
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
Jiawei Zhang · Peijun Xiao · Ruoyu Sun · Zhiquan Luo
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1184
A Fair Classifier Using Kernel Density Estimation
Jaewoong Cho · Gyeongjo Hwang · Changho Suh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1185
List-Decodable Mean Estimation via Iterative Multi-Filtering
Ilias Diakonikolas · Daniel Kane · Daniel Kongsgaard
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1186
On Learning Ising Models under Huber's Contamination Model
Adarsh Prasad · Vishwak Srinivasan · Sivaraman Balakrishnan · Pradeep Ravikumar
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1187
Worst-Case Analysis for Randomly Collected Data
Justin Chen · Gregory Valiant · Paul Valiant
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1188
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate
Akifumi Okuno · Hidetoshi Shimodaira
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1189
A General Method for Robust Learning from Batches
Ayush Jain · Alon Orlitsky
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1191
Optimal Prediction of the Number of Unseen Species with Multiplicity
Yi Hao · Ping Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1192
Probabilistic Active Meta-Learning
Jean Kaddour · Steindor Saemundsson · Marc Deisenroth
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1193
Meta-Consolidation for Continual Learning
Joseph K J · Vineeth N Balasubramanian
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1194
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh · Mehrdad Farajtabar · Razvan Pascanu · Hassan Ghasemzadeh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1195
Supermasks in Superposition
Mitchell Wortsman · Vivek Ramanujan · Rosanne Liu · Aniruddha Kembhavi · Mohammad Rastegari · Jason Yosinski · Ali Farhadi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1196
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo · Mingrui Liu · Tianbao Yang · Tajana S Rosing
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1197
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung · Hongjoon Ahn · Sungmin Cha · Taesup Moon
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1198
GAN Memory with No Forgetting
Yulai Cong · Miaoyun Zhao · Jianqiao Li · Sijia Wang · Lawrence Carin
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1199
Meta-Learning with Adaptive Hyperparameters
Sungyong Baik · Myungsub Choi · Janghoon Choi · Heewon Kim · Kyoung Mu Lee
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1200
Online Structured Meta-learning
Huaxiu Yao · Yingbo Zhou · Mehrdad Mahdavi · Zhenhui (Jessie) Li · Richard Socher · Caiming Xiong
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1201
Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao · Ozan Sener
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1202
Structured Prediction for Conditional Meta-Learning
Ruohan Wang · Yiannis Demiris · Carlo Ciliberto
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1203
Meta-learning from Tasks with Heterogeneous Attribute Spaces
Tomoharu Iwata · Atsutoshi Kumagai
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1204
Gradient-EM Bayesian Meta-Learning
Yayi Zou · Xiaoqi Lu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1205
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning
Xiaohan Chen · Zhangyang Wang · Siyu Tang · Krikamol Muandet
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1206
Neural Complexity Measures
Yoonho Lee · Juho Lee · Sung Ju Hwang · Eunho Yang · Seungjin Choi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1207
Modular Meta-Learning with Shrinkage
Yutian Chen · Abram Friesen · Feryal Behbahani · Arnaud Doucet · David Budden · Matthew Hoffman · Nando de Freitas
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1208
Gradient Surgery for Multi-Task Learning
Tianhe Yu · Saurabh Kumar · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1209
Organizing recurrent network dynamics by task-computation to enable continual learning
Lea Duncker · Laura N Driscoll · Krishna V Shenoy · Maneesh Sahani · David Sussillo
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1210
Finding the Homology of Decision Boundaries with Active Learning
Weizhi Li · Gautam Dasarathy · Karthikeyan Natesan Ramamurthy · Visar Berisha
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1211
Exemplar Guided Active Learning
Jason Hartford · Kevin Leyton-Brown · Hadas Raviv · Dan Padnos · Shahar Lev · Barak Lenz
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1212
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
Taewon Jeong · Heeyoung Kim
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1213
An Unbiased Risk Estimator for Learning with Augmented Classes
Yu-Jie Zhang · Peng Zhao · Lanjihong Ma · Zhi-Hua Zhou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1214
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
Wei Wang · Min-Ling Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1215
Rethinking Importance Weighting for Deep Learning under Distribution Shift
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1216
Robust Correction of Sampling Bias using Cumulative Distribution Functions
Bijan Mazaheri · Siddharth Jain · Jehoshua Bruck
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1217
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift
Zayd Hammoudeh · Daniel Lowd
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1218
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn · David Berthelot · Nicholas Carlini · Zizhao Zhang · Han Zhang · Colin A Raffel · Ekin Dogus Cubuk · Alexey Kurakin · Chun-Liang Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1219
A Variational Approach for Learning from Positive and Unlabeled Data
Hui Chen · Fangqing Liu · Yin Wang · Liyue Zhao · Hao Wu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1220
HRN: A Holistic Approach to One Class Learning
Wenpeng Hu · Mengyu Wang · Qi Qin · Jinwen Ma · Bing Liu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1221
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang · Zhi Xu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1222
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski · Yuhao Zhou · Abdelrahman Mohamed · Michael Auli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1223
Learning from Aggregate Observations
Yivan Zhang · Nontawat Charoenphakdee · Zhenguo Wu · Masashi Sugiyama
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1224
Self-training Avoids Using Spurious Features Under Domain Shift
Yining Chen · Colin Wei · Ananya Kumar · Tengyu Ma
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1225
Learning Physical Constraints with Neural Projections
Shuqi Yang · Xingzhe He · Bo Zhu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1226
Time-Reversal Symmetric ODE Network
In Huh · Eunho Yang · Sung Ju Hwang · Jinwoo Shin
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1227
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
Silviu-Marian Udrescu · Andrew Tan · Jiahai Feng · Orisvaldo Neto · Tailin Wu · Max Tegmark
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1228
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
Jing Xu · Fangwei Zhong · Yizhou Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1229
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
Bharat Lal Bhatnagar · Cristian Sminchisescu · Christian Theobalt · Gerard Pons-Moll
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1230
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
Govinda Kamath · Tavor Baharav · Ilan Shomorony
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1231
Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics
Alex Tseng · Avanti Shrikumar · Anshul Kundaje
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1232
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen
Amin Parvaneh · Ehsan Abbasnejad · Damien Teney · Javen Qinfeng Shi · Anton van den Hengel
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1233
Neural FFTs for Universal Texture Image Synthesis
Morteza Mardani · Guilin Liu · Aysegul Dundar · Shiqiu Liu · Andrew Tao · Bryan Catanzaro
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1234
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching
Zeping Yu · Wenxin Zheng · Jiaqi Wang · Qiyi Tang · Sen Nie · Shi Wu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1235
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
Kavi Gupta · Peter Ebert Christensen · Xinyun Chen · Dawn Song
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1236
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li · Fan Yang · Masayoshi Tomizuka · Chiho Choi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1237
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
LEI BAI · Lina Yao · Can Li · Xianzhi Wang · Can Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1238
JAX MD: A Framework for Differentiable Physics
Samuel Schoenholz · Ekin Dogus Cubuk
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1239
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Nitin Kamra · Hao Zhu · Dweep Trivedi · Ming Zhang · Yan Liu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1240
Learning Agent Representations for Ice Hockey
Guiliang Liu · Oliver Schulte · Pascal Poupart · Mike Rudd · Mehrsan Javan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1241
Correlation Robust Influence Maximization
Louis Chen · Divya Padmanabhan · Chee Chin Lim · Karthik Natarajan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1242
On Adaptive Distance Estimation
Yeshwanth Cherapanamjeri · Jelani Nelson
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1243
Recovery of sparse linear classifiers from mixture of responses
Venkata Gandikota · Arya Mazumdar · Soumyabrata Pal
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1244
Robustness of Community Detection to Random Geometric Perturbations
Sandrine Peche · Vianney Perchet
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1245
Entrywise convergence of iterative methods for eigenproblems
Vasileios Charisopoulos · Austin Benson · Anil Damle
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1246
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform
Jonathan Lacotte · Sifan Liu · Edgar Dobriban · Mert Pilanci
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1247
Beyond Lazy Training for Over-parameterized Tensor Decomposition
Xiang Wang · Chenwei Wu · Jason Lee · Tengyu Ma · Rong Ge
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1248
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
Jingqiu Ding · Samuel Hopkins · David Steurer
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1249
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
Michal Derezinski · Rajiv Khanna · Michael Mahoney
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1250
Precise expressions for random projections: Low-rank approximation and randomized Newton
Michal Derezinski · Feynman Liang · Zhenyu Liao · Michael Mahoney
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1252
Matrix Completion with Hierarchical Graph Side Information
Adel Elmahdy · Junhyung Ahn · Changho Suh · Soheil Mohajer
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1254
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu · Chi Wang · Ben Liao · Richard Peng · Jie Tang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1255
Fairness constraints can help exact inference in structured prediction
Kevin Bello · Jean Honorio
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1256
Exact expressions for double descent and implicit regularization via surrogate random design
Michal Derezinski · Feynman Liang · Michael Mahoney
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1257
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
Yi Hao · Ayush Jain · Alon Orlitsky · Vaishakh Ravindrakumar
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1258
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao · Feng Chen · Shu Hu · Jin-Hee Cho
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1259
Calibrated Reliable Regression using Maximum Mean Discrepancy
Peng Cui · Wenbo Hu · Jun Zhu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1260
Energy-based Out-of-distribution Detection
Weitang Liu · Xiaoyun Wang · John Owens · Yixuan Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1261
Neural Manifold Ordinary Differential Equations
Aaron Lou · Derek Lim · Isay Katsman · Leo Huang · Qingxuan Jiang · Ser Nam Lim · Christopher De Sa
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1262
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
Sang-gil Lee · Sungwon Kim · Sungroh Yoon
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1263
Adaptation Properties Allow Identification of Optimized Neural Codes
Luke Rast · Jan Drugowitsch
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1264
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
Rylan Schaeffer · Mikail Khona · Leenoy Meshulam · Brain Laboratory International · Ila Fiete
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1265
Learning to search efficiently for causally near-optimal treatments
Samuel Håkansson · Viktor Lindblom · Omer Gottesman · Fredrik Johansson
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1266
General Control Functions for Causal Effect Estimation from IVs
Aahlad Puli · Rajesh Ranganath
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1267
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe
Sanghack Lee · Elias Bareinboim
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1268
Active Structure Learning of Causal DAGs via Directed Clique Trees
Chandler Squires · Sara Magliacane · Kristjan Greenewald · Dmitriy Katz · Murat Kocaoglu · Karthikeyan Shanmugam
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1269
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach
Peter W Glynn · Ramesh Johari · Mohammad Rasouli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1270
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network
Chaojie Wang · Hao Zhang · Bo Chen · Dongsheng Wang · Zhengjue Wang · Mingyuan Zhou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1271
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
Qi Zhou · Yufei Kuang · Zherui Qiu · Houqiang Li · Jie Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1272
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
Tom Yan · Christian Kroer · Alexander Peysakhovich
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1273
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
Arnab Bhattacharyya · Sutanu Gayen · Kuldeep S Meel · N. V. Vinodchandran
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1274
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
Mohsen Bayati · Nima Hamidi · Ramesh Johari · Khashayar Khosravi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1275
Batched Coarse Ranking in Multi-Armed Bandits
Nikolai Karpov · Qin Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1276
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
Kyungjae Lee · Hongjun Yang · Sungbin Lim · Songhwai Oh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1277
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1278
Stage-wise Conservative Linear Bandits
Ahmadreza Moradipari · Christos Thrampoulidis · Mahnoosh Alizadeh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1279
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring
Taira Tsuchiya · Junya Honda · Masashi Sugiyama
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1280
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits
Shinji Ito · Shuichi Hirahara · Tasuku Soma · Yuichi Yoshida
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1281
Delay and Cooperation in Nonstochastic Linear Bandits
Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1282
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
Julian Katz-Samuels · Lalit Jain · zohar karnin · Kevin Jamieson
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1283
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
Tiancheng Jin · Haipeng Luo
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1284
Dynamic Regret of Convex and Smooth Functions
Peng Zhao · Yu-Jie Zhang · Lijun Zhang · Zhi-Hua Zhou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1285
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
Lin Chen · Qian Yu · Hannah Lawrence · Amin Karbasi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1286
Online learning with dynamics: A minimax perspective
Kush Bhatia · Karthik Sridharan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1287
A Tight Lower Bound and Efficient Reduction for Swap Regret
Shinji Ito
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1288
Making Non-Stochastic Control (Almost) as Easy as Stochastic
Max Simchowitz
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1289
Non-Stochastic Control with Bandit Feedback
Paula Gradu · John Hallman · Elad Hazan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1290
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu · Xiaoming Liu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1291
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou · Chenglei Wu · Zimo Li · Chen Cao · Yuting Ye · Jason Saragih · Hao Li · Yaser Sheikh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1292
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
Tong He · John Collomosse · Hailin Jin · Stefano Soatto
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1293
Generative 3D Part Assembly via Dynamic Graph Learning
jialei huang · Guanqi Zhan · Qingnan Fan · Kaichun Mo · Lin Shao · Baoquan Chen · Leonidas Guibas · Hao Dong
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1294
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Xueting Li · Sifei Liu · Shalini De Mello · Kihwan Kim · Xiaolong Wang · Ming-Hsuan Yang · Jan Kautz
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1295
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao · Wenzheng Chen · Tommy Xiang · Alec Jacobson · Morgan McGuire · Sanja Fidler
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1296
Weakly Supervised Deep Functional Maps for Shape Matching
Abhishek Sharma · Maks Ovsjanikov
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1297
Neural Star Domain as Primitive Representation
Yuki Kawana · Yusuke Mukuta · Tatsuya Harada
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1298
Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian
Yunpeng Shi · Shaohan Li · Gilad Lerman
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1299
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Chaozheng Wu · Jian Chen · Qiaoyu Cao · Jianchi Zhang · Yunxin Tai · Lin Sun · Kui Jia
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1300
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe · Tolga Birdal · Yongheng Zhao · Zan Gojcic · Srinath Sridhar · Leonidas Guibas
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1301
ShapeFlow: Learnable Deformation Flows Among 3D Shapes
Chiyu Jiang · Jingwei Huang · Andrea Tagliasacchi · Leonidas Guibas
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1302
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
Kunal Gupta · Manmohan Chandraker
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1303
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine L. Hermann · Ting Chen · Simon Kornblith
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1304
Texture Interpolation for Probing Visual Perception
Jonathan Vacher · Aida Davila · Adam Kohn · Ruben Coen-Cagli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1305
Byzantine Resilient Distributed Multi-Task Learning
Jiani Li · Waseem Abbas · Xenofon Koutsoukos
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1306
FrugalML: How to use ML Prediction APIs more accurately and cheaply
Lingjiao Chen · Matei Zaharia · James Zou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1307
Improving Auto-Augment via Augmentation-Wise Weight Sharing
Keyu Tian · Chen Lin · Ming Sun · Luping Zhou · Junjie Yan · Wanli Ouyang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1308
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang · Hongyang Li · Shan You · Fei Wang · Chen Qian · Zhouchen Lin
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1309
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space
Ekin Dogus Cubuk · Barret Zoph · Jonathon Shlens · Quoc V Le
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1310
Meta-Neighborhoods
Siyuan Shan · Yang Li · Junier Oliva
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1311
A Closer Look at the Training Strategy for Modern Meta-Learning
JIAXIN CHEN · Xiao-Ming Wu · Yanke Li · Qimai LI · Li-Ming Zhan · Fu-lai Chung
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1312
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Ximei Wang · Mingsheng Long · Jianmin Wang · Michael Jordan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1313
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
Dimitrios Mallis · Enrique Sanchez · Matthew Bell · Georgios Tzimiropoulos
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1314
Autofocused oracles for model-based design
Clara Fannjiang · Jennifer Listgarten
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1315
Hierarchical Neural Architecture Search for Deep Stereo Matching
Xuelian Cheng · Yiran Zhong · Mehrtash Harandi · Yuchao Dai · Xiaojun Chang · Hongdong Li · Tom Drummond · Zongyuan Ge
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1316
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
Yunhang Shen · Rongrong Ji · Zhiwei Chen · Yongjian Wu · Feiyue Huang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1317
Hierarchical Granularity Transfer Learning
Shaobo Min · Hongtao Xie · Hantao Yao · Xuran Deng · Zheng-Jun Zha · Yongdong Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1318
PyGlove: Symbolic Programming for Automated Machine Learning
Daiyi Peng · Xuanyi Dong · Esteban Real · Mingxing Tan · Yifeng Lu · Gabriel Bender · Hanxiao Liu · Adam Kraft · Chen Liang · Quoc V Le
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1319
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
Rasool Fakoor · Jonas Mueller · Nick Erickson · Pratik Chaudhari · Alexander Smola
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1321
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Oindrila Saha · Aditya Kusupati · Harsha Vardhan Simhadri · Manik Varma · Prateek Jain
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1322
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
Han Cai · Chuang Gan · Ligeng Zhu · Song Han
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1723
Distributed Distillation for On-Device Learning
Ilai Bistritz · Ariana Mann · Nicholas Bambos
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #104
Unsupervised Sound Separation Using Mixture Invariant Training
Scott Wisdom · Efthymios Tzinis · Hakan Erdogan · Ron Weiss · Kevin Wilson · John R. Hershey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #188
Neural Networks with Small Weights and Depth-Separation Barriers
Gal Vardi · Ohad Shamir
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #298
The Implications of Local Correlation on Learning Some Deep Functions
Eran Malach · Shai Shalev-Shwartz
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #506
Provably adaptive reinforcement learning in metric spaces
Tongyi Cao · Akshay Krishnamurthy
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #518
Instance Based Approximations to Profile Maximum Likelihood
Nima Anari · Moses Charikar · Kirankumar Shiragur · Aaron Sidford
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #607
Continual Learning of Control Primitives : Skill Discovery via Reset-Games
Kelvin Xu · Siddharth Verma · Chelsea Finn · Sergey Levine
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1323
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han · Junyu Gao · Yuan Yuan · Qi Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1324
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
Shashanka Ubaru · Sanjeeb Dash · Arya Mazumdar · Oktay Gunluk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1325
Transductive Information Maximization for Few-Shot Learning
Malik Boudiaf · Imtiaz Ziko · Jérôme Rony · Jose Dolz · Pablo Piantanida · Ismail Ben Ayed
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1326
Meta-Learning Requires Meta-Augmentation
Janarthanan Rajendran · Alexander Irpan · Eric Jang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1327
Co-Tuning for Transfer Learning
Kaichao You · Zhi Kou · Mingsheng Long · Jianmin Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1328
What Makes for Good Views for Contrastive Learning?
Yonglong Tian · Chen Sun · Ben Poole · Dilip Krishnan · Cordelia Schmid · Phillip Isola
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1329
Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola · Amos Storkey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1330
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren · Raymond A. Yeh · Alex Schwing
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1331
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim · Youngbum Hur · Sejun Park · Eunho Yang · Sung Ju Hwang · Jinwoo Shin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1332
Supervised Contrastive Learning
Prannay Khosla · Piotr Teterwak · Chen Wang · Aaron Sarna · Yonglong Tian · Phillip Isola · Aaron Maschinot · Ce Liu · Dilip Krishnan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1333
Curriculum Learning by Dynamic Instance Hardness
Tianyi Zhou · Shengjie Wang · Jeffrey A Bilmes
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1334
SuperLoss: A Generic Loss for Robust Curriculum Learning
Thibault Castells · Philippe Weinzaepfel · Jerome Revaud
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1335
Neural Topographic Factor Analysis for fMRI Data
Eli Sennesh · Zulqarnain Khan · Yiyu Wang · J Benjamin Hutchinson · Ajay Satpute · Jennifer Dy · Jan-Willem van de Meent
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1336
Self-supervised learning through the eyes of a child
Emin Orhan · Vaibhav Gupta · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1337
Learnability with Indirect Supervision Signals
Kaifu Wang · Qiang Ning · Dan Roth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1338
Learning from Label Proportions: A Mutual Contamination Framework
Clayton Scott · Jianxin Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1339
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
Ding Zhou · Xue-Xin Wei
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1340
Identifying signal and noise structure in neural population activity with Gaussian process factor models
Stephen Keeley · Mikio Aoi · Yiyi Yu · Spencer Smith · Jonathan Pillow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1341
Neuronal Gaussian Process Regression
Johannes Friedrich
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1342
Estimating Fluctuations in Neural Representations of Uncertain Environments
Sahand Farhoodi · Mark Plitt · Lisa Giocomo · Uri Eden
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1343
Understanding spiking networks through convex optimization
Allan Mancoo · Sander Keemink · Christian Machens
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1344
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
Ronald (James) Cotton · Fabian Sinz · Andreas Tolias
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1345
Efficient estimation of neural tuning during naturalistic behavior
Edoardo Balzani · Kaushik Lakshminarasimhan · Dora Angelaki · Cristina Savin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1346
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
Gabriel Mahuas · Giulio Isacchini · Olivier Marre · Ulisse Ferrari · Thierry Mora
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1347
Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield
John Choi · Krishan Kumar · Mohammad Khazali · Katie Wingel · Mahdi Choudhury · Adam Charles · Bijan Pesaran
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1348
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
Virginia Rutten · Alberto Bernacchia · Maneesh Sahani · Guillaume Hennequin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1349
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons
Qianyi Li · Cengiz Pehlevan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1350
Predictive coding in balanced neural networks with noise, chaos and delays
Jonathan Kadmon · Jonathan Timcheck · Surya Ganguli
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1351
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
Kristopher Jensen · Ta-Chu Kao · Marco Tripodi · Guillaume Hennequin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1352
Online Neural Connectivity Estimation with Noisy Group Testing
Anne Draelos · John Pearson
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1353
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
Joshua Glaser · Matthew Whiteway · John Cunningham · Liam Paninski · Scott Linderman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1354
Rescuing neural spike train models from bad MLE
Diego Arribas · Yuan Zhao · Il Memming Park
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1355
Flows for simultaneous manifold learning and density estimation
Johann Brehmer · Kyle Cranmer
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1356
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
Thomas Sutter · Imant Daunhawer · Julia Vogt
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1357
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
Didrik Nielsen · Priyank Jaini · Emiel Hoogeboom · Ole Winther · Max Welling
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1358
User-Dependent Neural Sequence Models for Continuous-Time Event Data
Alex Boyd · Robert Bamler · Stephan Mandt · Padhraic Smyth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1359
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh Keshav Jeewajee · Leslie Kaelbling
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1360
Hierarchical Quantized Autoencoders
Will Williams · Sam Ringer · Tom Ash · David MacLeod · Jamie Dougherty · John Hughes
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1361
Riemannian Continuous Normalizing Flows
Emile Mathieu · Maximilian Nickel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1362
Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang · Kun Xu · Chongxuan LI · Yang Song · Stefano Ermon · Jun Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1363
Learning Latent Space Energy-Based Prior Model
Bo Pang · Tian Han · Erik Nijkamp · Song-Chun Zhu · Ying Nian Wu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1364
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
Vu Nguyen · Vaden Masrani · Rob Brekelmans · Michael A Osborne · Frank Wood
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1365
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Chao Ma · Sebastian Tschiatschek · Richard Turner · José Miguel Hernández-Lobato · Cheng Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1367
Stochastic Normalizing Flows
Hao Wu · Jonas Köhler · Frank Noe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1368
Generative Neurosymbolic Machines
Jindong Jiang · Sungjin Ahn
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1369
Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur · Nicholas Gao · Marin Biloš · Stephan Günnemann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1370
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
Richard Kurle · Syama Sundar Rangapuram · Emmanuel de Bézenac · Stephan Günnemann · Jan Gasthaus
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1371
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Shikhar Bahl · Mustafa Mukadam · Abhinav Gupta · Deepak Pathak
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1372
Critic Regularized Regression
Ziyu Wang · Alexander Novikov · Konrad Zolna · Josh Merel · Jost Tobias Springenberg · Scott Reed · Bobak Shahriari · Noah Siegel · Caglar Gulcehre · Nicolas Heess · Nando de Freitas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1373
Off-Policy Imitation Learning from Observations
Zhuangdi Zhu · Kaixiang Lin · Bo Dai · Jiayu Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1374
Deep Inverse Q-learning with Constraints
Gabriel Kalweit · Maria Huegle · Moritz Werling · Joschka Boedecker
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1375
Value-driven Hindsight Modelling
Arthur Guez · Fabio Viola · Theophane Weber · Lars Buesing · Steven Kapturowski · Doina Precup · David Silver · Nicolas Heess
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1376
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder · Aldo Pacchiano · Krzysztof M Choromanski · Stephen J Roberts
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1377
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Paul Barde · Julien Roy · Wonseok Jeon · Joelle Pineau · Chris Pal · Derek Nowrouzezahrai
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1378
Reward Propagation Using Graph Convolutional Networks
Martin Klissarov · Doina Precup
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1379
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
Henry Charlesworth · Giovanni Montana
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1380
Self-Paced Deep Reinforcement Learning
Pascal Klink · Carlo D'Eramo · Jan Peters · Joni Pajarinen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1381
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
Yijie Guo · Jongwook Choi · Marcin Moczulski · Shengyu Feng · Samy Bengio · Mohammad Norouzi · Honglak Lee
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1382
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu · Weixun Wang · Hangtian Jia · Yixiang Wang · Yingfeng Chen · Jianye Hao · Feng Wu · Changjie Fan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1383
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
Xin Zhang · Yanhua Li · Ziming Zhang · Zhi-Li Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1384
Strictly Batch Imitation Learning by Energy-based Distribution Matching
Daniel Jarrett · Ioana Bica · Mihaela van der Schaar
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1385
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Zhongwen Xu · Hado van Hasselt · Matteo Hessel · Junhyuk Oh · Satinder Singh · David Silver
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1386
Inverse Reinforcement Learning from a Gradient-based Learner
Giorgia Ramponi · Gianluca Drappo · Marcello Restelli
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1387
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
Yihan Zhou · Victor Sanches Portella · Mark Schmidt · Nicholas Harvey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1388
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Raef Bassily · Vitaly Feldman · Cristóbal Guzmán · Kunal Talwar
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1389
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan Hu · Siqi Zhang · Xin Chen · Niao He
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1390
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
Raphaël Berthier · Francis Bach · Pierre Gaillard
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1391
Exponential ergodicity of mirror-Langevin diffusions
Sinho Chewi · Thibaut Le Gouic · Chen Lu · Tyler Maunu · Philippe Rigollet · Austin Stromme
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1392
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
Lénaïc Chizat · Pierre Roussillon · Flavien Léger · François-Xavier Vialard · Gabriel Peyré
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1393
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits
Arya Akhavan · Massimiliano Pontil · Alexandre Tsybakov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1394
The Statistical Complexity of Early-Stopped Mirror Descent
Tomas Vaskevicius · Varun Kanade · Patrick Rebeschini
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1395
Statistical and Topological Properties of Sliced Probability Divergences
Kimia Nadjahi · Alain Durmus · Lénaïc Chizat · Soheil Kolouri · Shahin Shahrampour · Umut Simsekli
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1396
Sharper Generalization Bounds for Pairwise Learning
Yunwen Lei · Antoine Ledent · Marius Kloft
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1397
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study
Assaf Dauber · Meir Feder · Tomer Koren · Roi Livni
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1398
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
Ziv Goldfeld · Kristjan Greenewald · Kengo Kato
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1399
Towards Problem-dependent Optimal Learning Rates
Yunbei Xu · Assaf Zeevi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1400
On Uniform Convergence and Low-Norm Interpolation Learning
Lijia Zhou · Danica J. Sutherland · Nati Srebro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1401
Estimating weighted areas under the ROC curve
Andreas Maurer · Massimiliano Pontil
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1402
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization
Benjamin Aubin · Florent Krzakala · Yue Lu · Lenka Zdeborová
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1403
On Second Order Behaviour in Augmented Neural ODEs
Alexander Norcliffe · Cristian Bodnar · Ben Day · Nikola Simidjievski · Pietro Lió
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1404
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
Marc Finzi · Ke Alexander Wang · Andrew Wilson
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1405
Object-Centric Learning with Slot Attention
Francesco Locatello · Dirk Weissenborn · Thomas Unterthiner · Aravindh Mahendran · Georg Heigold · Jakob Uszkoreit · Alexey Dosovitskiy · Thomas Kipf
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1406
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
David Bieber · Charles Sutton · Hugo Larochelle · Danny Tarlow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1407
Probabilistic Time Series Forecasting with Shape and Temporal Diversity
Vincent LE GUEN · Nicolas THOME
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1408
A shooting formulation of deep learning
François-Xavier Vialard · Roland Kwitt · Susan Wei · Marc Niethammer
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1409
Training Linear Finite-State Machines
Arash Ardakani · Amir Ardakani · Warren Gross
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1410
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method
Simiao Ren · Willie Padilla · Jordan Malof
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1411
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
Zijie Huang · Yizhou Sun · Wei Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1412
Fast Transformers with Clustered Attention
Apoorv Vyas · Angelos Katharopoulos · François Fleuret
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1413
SMYRF - Efficient Attention using Asymmetric Clustering
Giannis Daras · Nikita Kitaev · Augustus Odena · Alex Dimakis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1414
Sparse and Continuous Attention Mechanisms
André Martins · António Farinhas · Marcos Treviso · Vlad Niculae · Pedro Aguiar · Mario Figueiredo
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1415
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Ruizhi Deng · Bo Chang · Marcus Brubaker · Greg Mori · Andreas Lehrmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1416
Denoising Diffusion Probabilistic Models
Jonathan Ho · Ajay Jain · Pieter Abbeel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1417
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
Giancarlo Kerg · Bhargav Kanuparthi · Anirudh Goyal · Kyle Goyette · Yoshua Bengio · Guillaume Lajoie
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1418
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger · James Morrill · James Foster · Terry Lyons
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1419
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
Nikolaos Karalias · Andreas Loukas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1420
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models
Leonardo Cotta · Carlos H. C. Teixeira · Ananthram Swami · Bruno Ribeiro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1421
Pointer Graph Networks
Petar Veličković · Lars Buesing · Matthew Overlan · Razvan Pascanu · Oriol Vinyals · Charles Blundell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1422
Can Graph Neural Networks Count Substructures?
Zhengdao Chen · Lei Chen · Soledad Villar · Joan Bruna
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1423
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li · Yanbang Wang · Hongwei Wang · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1424
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
Wenzheng Feng · Jie Zhang · Yuxiao Dong · Yu Han · Huanbo Luan · Qian Xu · Qiang Yang · Evgeny Kharlamov · Jie Tang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1425
Graph Contrastive Learning with Augmentations
Yuning You · Tianlong Chen · Yongduo Sui · Ting Chen · Zhangyang Wang · Yang Shen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1426
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min · Frederik Wenkel · Guy Wolf
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1427
Graph Stochastic Neural Networks for Semi-supervised Learning
Haibo Wang · Chuan Zhou · Xin Chen · Jia Wu · Shirui Pan · Jilong Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1428
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof · Eran Treister
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1429
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li · Yuxian Meng · Mingxin Zhou · Qinghong Han · Fei Wu · Jiwei Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1430
Curvature Regularization to Prevent Distortion in Graph Embedding
Hongbin Pei · Bingzhe Wei · Kevin Chang · Chunxu Zhang · Bo Yang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1431
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
Sahil Manchanda · AKASH MITTAL · Anuj Dhawan · Sourav Medya · Sayan Ranu · Ambuj K Singh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1432
Subgraph Neural Networks
Emily Alsentzer · Samuel Finlayson · Michelle Li · Marinka Zitnik
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1433
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Vu · My T. Thai
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1434
Factor Graph Neural Networks
Zhen Zhang · Fan Wu · Wee Sun Lee
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1435
WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement
Edith Cohen · Rasmus Pagh · David Woodruff
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1436
Statistical Guarantees of Distributed Nearest Neighbor Classification
Jiexin Duan · Xingye Qiao · Guang Cheng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1437
Robust Persistence Diagrams using Reproducing Kernels
Siddharth Vishwanath · Kenji Fukumizu · Satoshi Kuriki · Bharath Sriperumbudur
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1438
Regression with reject option and application to kNN
Ahmed Zaoui · Christophe Denis · Mohamed Hebiri
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1439
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning
Bhavya Kailkhura · Jayaraman Thiagarajan · Qunwei Li · Jize Zhang · Yi Zhou · Timo Bremer
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1440
Uncertainty Quantification for Inferring Hawkes Networks
Haoyun Wang · Liyan Xie · Alex Cuozzo · Simon Mak · Yao Xie
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1441
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik · Pratul Srinivasan · Ben Mildenhall · Sara Fridovich-Keil · Nithin Raghavan · Utkarsh Singhal · Ravi Ramamoorthi · Jonathan Barron · Ren Ng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1442
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
Fabian Fuchs · Daniel E Worrall · Volker Fischer · Max Welling
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1443
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
Gersende Fort · Eric Moulines · Hoi-To Wai
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1444
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
Shafi Goldwasser · Adam Tauman Kalai · Yael Kalai · Omar Montasser
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1445
Confidence sequences for sampling without replacement
Ian Waudby-Smith · Aaditya Ramdas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1446
Truthful Data Acquisition via Peer Prediction
Yiling Chen · Yiheng Shen · Shuran Zheng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1447
Axioms for Learning from Pairwise Comparisons
Ritesh Noothigattu · Dominik Peters · Ariel Procaccia
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1448
Testing Determinantal Point Processes
Khashayar Gatmiry · Maryam Aliakbarpour · Stefanie Jegelka
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1449
Coded Sequential Matrix Multiplication For Straggler Mitigation
Nikhil Krishnan Muralee Krishnan · Seyederfan Hosseini · Ashish Khisti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1450
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Siddhant Garg · Yingyu Liang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1451
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi · Kfir Y. Levy · Stefanie Jegelka · Andreas Krause
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1452
High-Dimensional Sparse Linear Bandits
Botao Hao · Tor Lattimore · Mengdi Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1453
Adversarial Bandits with Corruptions
Lin Yang · Mohammad Hajiesmaili · Mohammad Sadegh Talebi · John C. S. Lui · Wing Shing Wong
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1454
On Regret with Multiple Best Arms
Yinglun Zhu · Robert Nowak
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1455
Model Selection in Contextual Stochastic Bandit Problems
Aldo Pacchiano · My Phan · Yasin Abbasi Yadkori · Anup Rao · Julian Zimmert · Tor Lattimore · Csaba Szepesvari
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1456
An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits
Andrea Tirinzoni · Matteo Pirotta · Marcello Restelli · Alessandro Lazaric
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1457
Adapting to Misspecification in Contextual Bandits
Dylan Foster · Claudio Gentile · Mehryar Mohri · Julian Zimmert
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1458
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
Yingying Li · Na Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1459
Bandit Linear Control
Asaf Benjamin Cassel · Tomer Koren
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1460
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
Edouard Leurent · Odalric-Ambrym Maillard · Denis Efimov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1461
On the Convergence of Smooth Regularized Approximate Value Iteration Schemes
Elena Smirnova · Elvis Dohmatob
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1462
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Wanxin Jin · Zhaoran Wang · Zhuoran Yang · Shaoshuai Mou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1463
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning
Nino Vieillard · Tadashi Kozuno · Bruno Scherrer · Olivier Pietquin · Remi Munos · Matthieu Geist
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1464
Implicit Distributional Reinforcement Learning
Yuguang Yue · Zhendong Wang · Mingyuan Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1465
Small Nash Equilibrium Certificates in Very Large Games
Brian Zhang · Tuomas Sandholm
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1466
Contextual Games: Multi-Agent Learning with Side Information
Pier Giuseppe Sessa · Ilija Bogunovic · Andreas Krause · Maryam Kamgarpour
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1467
Recursive Inference for Variational Autoencoders
Minyoung Kim · Vladimir Pavlovic
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1468
Bayesian Pseudocoresets
Dionysis Manousakas · Zuheng Xu · Cecilia Mascolo · Trevor Campbell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1469
Variational Bayesian Monte Carlo with Noisy Likelihoods
Luigi Acerbi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1470
Bayesian Probabilistic Numerical Integration with Tree-Based Models
Harrison Zhu · Xing Liu · Ruya Kang · Zhichao Shen · Seth Flaxman · Francois-Xavier Briol
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1471
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
Jakob Lindinger · David Reeb · Christoph Lippert · Barbara Rakitsch
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1472
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
Geoff Pleiss · Martin Jankowiak · David Eriksson · Anil Damle · Jacob Gardner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1473
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
Randall Balestriero · Sebastien PARIS · Richard Baraniuk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1474
Decentralized Langevin Dynamics for Bayesian Learning
Anjaly Parayil · He Bai · Jemin George · Prudhvi Gurram
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1475
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
Charles Margossian · Aki Vehtari · Daniel Simpson · Raj Agrawal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1476
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez · Pierre Boyeau · Nir Yosef · Michael Jordan · Jeffrey Regier
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1477
Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka · Alejandro Catalina · Michael Andersen · Måns Magnusson · Jonathan Huggins · Aki Vehtari
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1478
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
Abhinav Agrawal · Daniel Sheldon · Justin Domke
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1479
Efficient Low Rank Gaussian Variational Inference for Neural Networks
Marcin Tomczak · Siddharth Swaroop · Richard Turner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1480
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations
Sebastian Farquhar · Lewis Smith · Yarin Gal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1481
Markovian Score Climbing: Variational Inference with KL(p||q)
Christian Naesseth · Fredrik Lindsten · David Blei
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1482
Projected Stein Variational Gradient Descent
Peng Chen · Omar Ghattas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1483
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing
Vishaal Krishnan · Abed AlRahman Al Makdah · Fabio Pasqualetti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1484
SnapBoost: A Heterogeneous Boosting Machine
Thomas Parnell · Andreea Anghel · Małgorzata Łazuka · Nikolas Ioannou · Sebastian Kurella · Peshal Agarwal · Nikolaos Papandreou · Haralampos Pozidis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1485
The Wasserstein Proximal Gradient Algorithm
Adil Salim · Anna Korba · Giulia Luise
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1486
Unbalanced Sobolev Descent
Youssef Mroueh · Mattia Rigotti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1487
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction
Benoît Colange · Jaakko Peltonen · Michael Aupetit · Denys Dutykh · Sylvain Lespinats
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1488
Multiparameter Persistence Image for Topological Machine Learning
Mathieu Carrière · Andrew Blumberg
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1489
Learning with Differentiable Pertubed Optimizers
Quentin Berthet · Mathieu Blondel · Olivier Teboul · Marco Cuturi · Jean-Philippe Vert · Francis Bach
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1490
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
Hayata Yamasaki · Sathyawageeswar Subramanian · Sho Sonoda · Masato Koashi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1491
Learning outside the Black-Box: The pursuit of interpretable models
Jonathan Crabbe · Yao Zhang · William Zame · Mihaela van der Schaar
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1492
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
Chaobing Song · Yong Jiang · Yi Ma
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1493
Random Reshuffling is Not Always Better
Christopher De Sa
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1494
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
Chaobing Song · Zhengyuan Zhou · Yichao Zhou · Yong Jiang · Yi Ma
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1495
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji · Jason Lee · Yingbin Liang · H. Vincent Poor
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1496
Online Sinkhorn: Optimal Transport distances from sample streams
Arthur Mensch · Gabriel Peyré
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1497
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
Anna Korba · Adil Salim · Michael Arbel · Giulia Luise · Arthur Gretton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1498
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
Sinho Chewi · Thibaut Le Gouic · Chen Lu · Tyler Maunu · Philippe Rigollet
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1499
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Mendez · Boyu Wang · Eric Eaton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1500
The NetHack Learning Environment
Heinrich Küttler · Nantas Nardelli · Alexander Miller · Roberta Raileanu · Marco Selvatici · Edward Grefenstette · Tim Rocktäschel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1501
Discovering Reinforcement Learning Algorithms
Junhyuk Oh · Matteo Hessel · Wojciech Czarnecki · Zhongwen Xu · Hado van Hasselt · Satinder Singh · David Silver
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1502
Latent World Models For Intrinsically Motivated Exploration
Aleksandr Ermolov · Nicu Sebe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1503
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Julien Roy · Paul Barde · Félix Harvey · Derek Nowrouzezahrai · Chris Pal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1504
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
Filippos Christianos · Lukas Schäfer · Stefano Albrecht
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1505
Learning to Incentivize Other Learning Agents
Jiachen Yang · Ang Li · Mehrdad Farajtabar · Peter Sunehag · Edward Hughes · Hongyuan Zha
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1506
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
Nelson Vadori · Sumitra Ganesh · Prashant Reddy · Manuela Veloso
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1507
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius · Scott Cameron · Elan van Biljon · Thomas Makkink · Shahil Mawjee · Jeremy du Plessis · Jonathan Shock · Alexandre Laterre · Karim Beguir
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1508
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas Anthony · Tom Eccles · Andrea Tacchetti · János Kramár · Ian Gemp · Thomas Hudson · Nicolas Porcel · Marc Lanctot · Julien Perolat · Richard Everett · Satinder Singh · Thore Graepel · Yoram Bachrach
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1509
A Boolean Task Algebra for Reinforcement Learning
Geraud Nangue Tasse · Steven James · Benjamin Rosman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1510
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
Zhiyuan Xu · Kun Wu · Zhengping Che · Jian Tang · Jieping Ye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1511
Munchausen Reinforcement Learning
Nino Vieillard · Olivier Pietquin · Matthieu Geist
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1512
Information-theoretic Task Selection for Meta-Reinforcement Learning
Ricardo Luna Gutierrez · Matteo Leonetti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1513
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang · Pieter Abbeel · Lerrel Pinto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1514
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown · Anton Bakhtin · Adam Lerer · Qucheng Gong
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1515
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula
Yuxuan Zhao · Madeleine Udell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1516
Learning to Prove Theorems by Learning to Generate Theorems
Mingzhe Wang · Jia Deng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1517
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
Makan Arastuie · Subhadeep Paul · Kevin Xu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1518
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1519
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms.
Sriram Sankaranarayanan · Yi Chou · Eric Goubault · Sylvie Putot
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1520
Taming Discrete Integration via the Boon of Dimensionality
Jeffrey Dudek · Dror Fried · Kuldeep S Meel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1521
Belief Propagation Neural Networks
Jonathan Kuck · Shuvam Chakraborty · Hao Tang · Rachel Luo · Jiaming Song · Ashish Sabharwal · Stefano Ermon
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1522
Scalable Belief Propagation via Relaxed Scheduling
Vitalii Aksenov · Dan Alistarh · Janne H. Korhonen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1523
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih · Stefano Ermon
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1524
Towards Scalable Bayesian Learning of Causal DAGs
Jussi Viinikka · Antti Hyttinen · Johan Pensar · Mikko Koivisto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1525
A Novel Approach for Constrained Optimization in Graphical Models
Sara Rouhani · Tahrima Rahman · Vibhav Gogate
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1526
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
Dennis Wei · Tian Gao · Yue Yu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1527
Factor Graph Grammars
David Chiang · Darcey Riley
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1528
Efficient Learning of Discrete Graphical Models
Marc Vuffray · Sidhant Misra · Andrey Lokhov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1529
Online Bayesian Goal Inference for Boundedly Rational Planning Agents
Tan Zhi-Xuan · Jordyn Mann · Tom Silver · Josh Tenenbaum · Vikash Mansinghka
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1530
Greedy inference with structure-exploiting lazy maps
Michael Brennan · Daniele Bigoni · Olivier Zahm · Alessio Spantini · Youssef Marzouk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1531
Biologically Inspired Mechanisms for Adversarial Robustness
Manish Reddy Vuyyuru · Andrzej Banburski · Nishka Pant · Tomaso Poggio
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1532
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
Mingyuan Zhang · Shivani Agarwal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1533
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
Lynton Ardizzone · Radek Mackowiak · Carsten Rother · Ullrich Köthe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1534
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1535
A Unified View of Label Shift Estimation
Saurabh Garg · Yifan Wu · Sivaraman Balakrishnan · Zachary Lipton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1536
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti · Viveka Kulharia · Amartya Sanyal · Stuart Golodetz · Philip Torr · Puneet Dokania
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1537
Distribution-free binary classification: prediction sets, confidence intervals and calibration
Chirag Gupta · Aleksandr Podkopaev · Aaditya Ramdas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1538
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
Ben Usman · Avneesh Sud · Nick Dufour · Kate Saenko
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1539
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
Tong Che · Ruixiang ZHANG · Jascha Sohl-Dickstein · Hugo Larochelle · Liam Paull · Yuan Cao · Yoshua Bengio
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1540
Exchangeable Neural ODE for Set Modeling
Yang Li · Haidong Yi · Christopher Bender · Siyuan Shan · Junier Oliva
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1541
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
Robin Schirrmeister · Yuxuan Zhou · Tonio Ball · Dan Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1542
Further Analysis of Outlier Detection with Deep Generative Models
Ziyu Wang · Bin Dai · David P Wipf · Jun Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1543
Sample Complexity of Uniform Convergence for Multicalibration
Eliran Shabat · Lee Cohen · Yishay Mansour
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1544
Certifiably Adversarially Robust Detection of Out-of-Distribution Data
Julian Bitterwolf · Alexander Meinke · Matthias Hein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1545
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji · Padhraic Smyth · Mark Steyvers
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1546
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
Jay Nandy · Wynne Hsu · Mong Li Lee
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1547
Reducing Adversarially Robust Learning to Non-Robust PAC Learning
Omar Montasser · Steve Hanneke · Nati Srebro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1548
Tensor Completion Made Practical
Allen Liu · Ankur Moitra
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1549
Online Matrix Completion with Side Information
Mark Herbster · Stephen Pasteris · Lisa Tse
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1550
Truncated Linear Regression in High Dimensions
Constantinos Daskalakis · Dhruv Rohatgi · Emmanouil Zampetakis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1551
Finer Metagenomic Reconstruction via Biodiversity Optimization
Simon Foucart · David Koslicki
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1552
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin · Nadav Cohen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1553
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
Richard Y Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1554
Towards a Better Global Loss Landscape of GANs
Ruoyu Sun · Tiantian Fang · Alex Schwing
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1555
Implicit Regularization and Convergence for Weight Normalization
Xiaoxia Wu · Edgar Dobriban · Tongzheng Ren · Shanshan Wu · Zhiyuan Li · Suriya Gunasekar · Rachel Ward · Qiang Liu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1556
Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations
Amit Daniely · Hadas Shacham
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1557
Geometric Exploration for Online Control
Orestis Plevrakis · Elad Hazan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1558
The Smoothed Possibility of Social Choice
Lirong Xia
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1559
Optimally Deceiving a Learning Leader in Stackelberg Games
Georgios Birmpas · Jiarui Gan · Alexandros Hollender · Francisco Marmolejo · Ninad Rajgopal · Alexandros Voudouris
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1560
Explainable Voting
Dominik Peters · Ariel Procaccia · Alexandros Psomas · Zixin Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1561
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
Stefano Sarao Mannelli · Eric Vanden-Eijnden · Lenka Zdeborová
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1562
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree
Peizhong Ju · Xiaojun Lin · Jia Liu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1563
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis · Jacob Andreas · Marco Baroni · Diane Bouchacourt · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1564
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Julien Launay · Iacopo Poli · François Boniface · Florent Krzakala
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1565
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin · Peter E Latham
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1566
Meta-Learning through Hebbian Plasticity in Random Networks
Elias Najarro · Sebastian Risi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1567
Stable and expressive recurrent vision models
Drew Linsley · Alekh Karkada Ashok · Lakshmi Narasimhan Govindarajan · Rex Liu · Thomas Serre
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1568
Identifying Learning Rules From Neural Network Observables
Aran Nayebi · Sanjana Srivastava · Surya Ganguli · Daniel Yamins
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1569
Deep active inference agents using Monte-Carlo methods
Zafeirios Fountas · Noor Sajid · Pedro Mediano · Karl Friston
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1570
Learning Compositional Rules via Neural Program Synthesis
Maxwell Nye · Armando Solar-Lezama · Josh Tenenbaum · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1571
A Local Temporal Difference Code for Distributional Reinforcement Learning
Pablo Tano · Peter Dayan · Alexandre Pouget
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1572
Inferring learning rules from animal decision-making
Zoe Ashwood · Nicholas Roy · Ji Hyun Bak · Jonathan Pillow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1573
A Biologically Plausible Neural Network for Slow Feature Analysis
David Lipshutz · Charles Windolf · Siavash Golkar · Dmitri Chklovskii
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1574
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making
Sergey Shuvaev · Sarah Starosta · Duda Kvitsiani · Adam Kepecs · Alexei Koulakov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1575
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
Anqi Wu · Estefany Kelly Buchanan · Matthew Whiteway · Michael Schartner · Guido Meijer · Jean-Paul Noel · Erica Rodriguez · Claire Everett · Amy Norovich · Evan Schaffer · Neeli Mishra · C. Daniel Salzman · Dora Angelaki · Andrés Bendesky · The International Brain Laboratory The International Brain Laboratory · John Cunningham · Liam Paninski
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1576
Characterizing emergent representations in a space of candidate learning rules for deep networks
Yinan Cao · Christopher Summerfield · Andrew Saxe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1577
A simple normative network approximates local non-Hebbian learning in the cortex
Siavash Golkar · David Lipshutz · Yanis Bahroun · Anirvan Sengupta · Dmitri Chklovskii
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1578
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1579
Detection as Regression: Certified Object Detection with Median Smoothing
Ping-yeh Chiang · Michael Curry · Ahmed Abdelkader · Aounon Kumar · John Dickerson · Tom Goldstein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1580
Certifying Confidence via Randomized Smoothing
Aounon Kumar · Alexander Levine · Soheil Feizi · Tom Goldstein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1581
Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler · Daniel Zügner · Stephan Günnemann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1582
PLLay: Efficient Topological Layer based on Persistent Landscapes
Kwangho Kim · Jisu Kim · Manzil Zaheer · Joon Kim · Frederic Chazal · Larry Wasserman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1583
Network Diffusions via Neural Mean-Field Dynamics
Shushan He · Hongyuan Zha · Xiaojing Ye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1584
Learning the Geometry of Wave-Based Imaging
Konik Kothari · Maarten de Hoop · Ivan Dokmanić
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1585
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani · James Zou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1586
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
Hongwei Jin · Zhan Shi · Venkata Jaya Shankar Ashish Peruri · Xinhua Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1587
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
Guy Bresler · Dheeraj Nagaraj
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1588
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang · Peng Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1589
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng Xiao · Qing Yan · Yali Amit
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1590
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp · Erik Daxberger · José Miguel Hernández-Lobato
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1591
Discovering Symbolic Models from Deep Learning with Inductive Biases
Miles Cranmer · Alvaro Sanchez Gonzalez · Peter Battaglia · Rui Xu · Kyle Cranmer · David Spergel · Shirley Ho
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1592
Compositional Explanations of Neurons
Jesse Mu · Jacob Andreas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1593
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Kaidi Xu · Zhouxing Shi · Huan Zhang · Yihan Wang · Kai-Wei Chang · Minlie Huang · Bhavya Kailkhura · Xue Lin · Cho-Jui Hsieh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1594
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
Yi Zhang · Orestis Plevrakis · Simon Du · Xingguo Li · Zhao Song · Sanjeev Arora
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1595
Telescoping Density-Ratio Estimation
Benjamin Rhodes · Kai Xu · Michael Gutmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1596
On Testing of Samplers
Kuldeep S Meel · Yash Pote · Sourav Chakraborty
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1597
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
Alexander Shekhovtsov · Viktor Yanush · Boris Flach
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1598
Deep Direct Likelihood Knockoffs
Mukund Sudarshan · Wesley Tansey · Rajesh Ranganath
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1599
Generalised Bayesian Filtering via Sequential Monte Carlo
Ayman Boustati · Omer Deniz Akyildiz · Theodoros Damoulas · Adam Johansen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1600
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
Sean Kulinski · Saurabh Bagchi · David Inouye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1601
Bayesian Optimization of Risk Measures
Sait Cakmak · Raul Astudillo · Peter Frazier · Enlu Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1602
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Samuel Daulton · Maximilian Balandat · Eytan Bakshy
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1603
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo
ZHIYAN DING · Qin Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1604
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng · Guang Lin · Faming Liang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1605
Sequential Bayesian Experimental Design with Variable Cost Structure
Sue Zheng · David Hayden · Jason Pacheco · John Fisher III
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1606
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
Ruqi Zhang · A. Feder Cooper · Christopher De Sa
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1607
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm
Adil Salim · Peter Richtarik
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1608
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
Rui Luo · Qiang Zhang · Yaodong Yang · Jun Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1609
Stein Self-Repulsive Dynamics: Benefits From Past Samples
Mao Ye · Tongzheng Ren · Qiang Liu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1610
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Aman Sinha · Matthew O'Kelly · Russ Tedrake · John Duchi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1611
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
Anthony Tompkins · Rafael Oliveira · Fabio Ramos
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1612
Bootstrapping neural processes
Juho Lee · Yoonho Lee · Jungtaek Kim · Eunho Yang · Sung Ju Hwang · Yee Whye Teh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1613
Sparse Learning with CART
Jason Klusowski
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1614
Smooth And Consistent Probabilistic Regression Trees
Sami Alkhoury · Emilie Devijver · Marianne Clausel · Myriam Tami · Eric Gaussier · georges Oppenheim
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1615
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Liu · Zi Lin · Shreyas Padhy · Dustin Tran · Tania Bedrax Weiss · Balaji Lakshminarayanan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1616
Bayesian Deep Ensembles via the Neural Tangent Kernel
Bobby He · Balaji Lakshminarayanan · Yee Whye Teh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1617
Predictive inference is free with the jackknife+-after-bootstrap
Byol Kim · Chen Xu · Rina Barber
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1618
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Florian Wenzel · Jasper Snoek · Dustin Tran · Rodolphe Jenatton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1619
Depth Uncertainty in Neural Networks
Javier Antorán · James Allingham · José Miguel Hernández-Lobato
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1620
A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle · Lisa Schut · Robin Ru · Yarin Gal · Mark van der Wilk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1621
Learning under Model Misspecification: Applications to Variational and Ensemble methods
Andres Masegosa
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1622
Counterfactual Predictions under Runtime Confounding
Amanda Coston · Edward Kennedy · Alexandra Chouldechova
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1623
Matérn Gaussian Processes on Riemannian Manifolds
Viacheslav Borovitskiy · Alexander Terenin · Peter Mostowsky · Marc Deisenroth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1624
Stationary Activations for Uncertainty Calibration in Deep Learning
Lassi Meronen · Christabella Irwanto · Arno Solin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1625
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters
Sulin Liu · Xingyuan Sun · Peter J Ramadge · Ryan Adams
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1626
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
Andrew Foong · David Burt · Yingzhen Li · Richard Turner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1627
The Strong Screening Rule for SLOPE
Johan Larsson · Malgorzata Bogdan · Jonas Wallin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1628
Co-exposure Maximization in Online Social Networks
Sijing Tu · Cigdem Aslay · Aristides Gionis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1629
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev
Xiao Wang · Qi Lei · Ioannis Panageas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1630
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
Giorgos ('Yorgos') Mamakoukas · Orest Xherija · Todd Murphey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1631
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
Luca De Gennaro Aquino · Stephan Eckstein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1632
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Tong Chen · Jean Lasserre · Victor Magron · Edouard Pauwels
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1633
Parabolic Approximation Line Search for DNNs
Maximus Mutschler · Andreas Zell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1634
Batch normalization provably avoids ranks collapse for randomly initialised deep networks
Hadi Daneshmand · Jonas Kohler · Francis Bach · Thomas Hofmann · Aurelien Lucchi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1635
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization
Xuefeng GAO · Mert Gurbuzbalaban · Lingjiong Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1636
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang · Qinghua Liu · Hao Liang · Gauri Joshi · H. Vincent Poor
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1637
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices
John Duchi · Oliver Hinder · Andrew Naber · Yinyu Ye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1638
A mean-field analysis of two-player zero-sum games
Carles Domingo-Enrich · Samy Jelassi · Arthur Mensch · Grant Rotskoff · Joan Bruna
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1639
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh · Farzan Farnia · Ramtin Pedarsani · Ali Jadbabaie
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1640
Learning compositional functions via multiplicative weight updates
Jeremy Bernstein · Jiawei Zhao · Markus Meister · Ming-Yu Liu · Anima Anandkumar · Yisong Yue
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1641
Stochastic Optimization for Performative Prediction
Celestine Mendler-Dünner · Juan Perdomo · Tijana Zrnic · Moritz Hardt
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1642
Conformal Symplectic and Relativistic Optimization
Guilherme Franca · Jeremias Sulam · Daniel Robinson · Rene Vidal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1643
On Power Laws in Deep Ensembles
Ekaterina Lobacheva · Nadezhda Chirkova · Maxim Kodryan · Dmitry Vetrov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1644
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
Guilin Li · Junlei Zhang · Yunhe Wang · Chuanjian Liu · Matthias Tan · Yunfeng Lin · Wei Zhang · Jiashi Feng · Tong Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1645
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew Wilson · Pavel Izmailov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1646
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang · Mert Sabuncu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1647
On the training dynamics of deep networks with $L_2$ regularization
Aitor Lewkowycz · Guy Gur-Ari
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1648
Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate
Zhiyuan Li · Kaifeng Lyu · Sanjeev Arora
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1649
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks
Soham De · Sam Smith
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1650
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
Julius Berner · Markus Dablander · Philipp Grohs
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1651
Bad Global Minima Exist and SGD Can Reach Them
Shengchao Liu · Dimitris Papailiopoulos · Dimitris Achlioptas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1652
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
Wei Hu · Lechao Xiao · Ben Adlam · Jeffrey Pennington
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1653
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao Lin · Lingjing Kong · Sebastian Stich · Martin Jaggi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1654
On Warm-Starting Neural Network Training
Jordan Ash · Ryan Adams
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1655
Predicting Training Time Without Training
Luca Zancato · Alessandro Achille · Avinash Ravichandran · Rahul Bhotika · Stefano Soatto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1656
Directional convergence and alignment in deep learning
Ziwei Ji · Matus Telgarsky
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1657
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Barbalau · Adrian Cosma · Radu Tudor Ionescu · Marius Popescu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1658
Consistent feature selection for analytic deep neural networks
Vu Dinh · Lam Ho
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1659
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms
Sascha Saralajew · Lars Holdijk · Thomas Villmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1660
Sampling from a k-DPP without looking at all items
Daniele Calandriello · Michal Derezinski · Michal Valko
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1661
Optimal Learning from Verified Training Data
Nicholas Bishop · Long Tran-Thanh · Enrico Gerding
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1662
Empirical Likelihood for Contextual Bandits
Nikos Karampatziakis · John Langford · Paul Mineiro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1663
Sufficient dimension reduction for classification using principal optimal transport direction
Cheng Meng · Jun Yu · Jingyi Zhang · Ping Ma · Wenxuan Zhong
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1664
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning
Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1665
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Ignavier Ng · AmirEmad Ghassami · Kun Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1666
Listening to Sounds of Silence for Speech Denoising
Ruilin Xu · Rundi Wu · Yuko Ishiwaka · Carl Vondrick · Changxi Zheng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1667
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Ziqi Ke · Haris Vikalo
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1668
Geometric All-way Boolean Tensor Decomposition
Changlin Wan · Wennan Chang · Tong Zhao · Sha Cao · Chi Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1669
A novel variational form of the Schatten-$p$ quasi-norm
Paris Giampouras · Rene Vidal · Athanasios Rontogiannis · Benjamin Haeffele
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1670
Distributionally Robust Parametric Maximum Likelihood Estimation
Viet Anh Nguyen · Xuhui Zhang · Jose Blanchet · Angelos Georghiou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1671
Adaptive Probing Policies for Shortest Path Routing
Aditya Bhaskara · Sreenivas Gollapudi · Kostas Kollias · Kamesh Munagala
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1672
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions
Alessandro Epasto · Mohammad Mahdian · Vahab Mirrokni · Emmanouil Zampetakis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1673
Content Provider Dynamics and Coordination in Recommendation Ecosystems
Omer Ben-Porat · Itay Rosenberg · Moshe Tennenholtz
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1674
Non-parametric Models for Non-negative Functions
Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1675
Program Synthesis with Pragmatic Communication
Yewen Pu · Kevin Ellis · Marta Kryven · Josh Tenenbaum · Armando Solar-Lezama
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1676
Detecting Interactions from Neural Networks via Topological Analysis
Zirui Liu · Qingquan Song · Kaixiong Zhou · Ting-Hsiang Wang · Ying Shan · Xia Hu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1677
Learning efficient task-dependent representations with synaptic plasticity
Colin Bredenberg · Eero Simoncelli · Cristina Savin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1678
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
Hugo Richard · Luigi Gresele · Aapo Hyvarinen · Bertrand Thirion · Alexandre Gramfort · Pierre Ablin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1679
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1680
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
Bastian Rieck · Tristan Yates · Christian Bock · Karsten Borgwardt · Guy Wolf · Nicholas Turk-Browne · Smita Krishnaswamy
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1681
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
Shailee Jain · Vy Vo · Shivangi Mahto · Amanda LeBel · Javier Turek · Alexander Huth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1682
Learning abstract structure for drawing by efficient motor program induction
Lucas Tian · Kevin Ellis · Marta Kryven · Josh Tenenbaum
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1683
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1684
Gibbs Sampling with People
Peter Harrison · Raja Marjieh · Federico G Adolfi · Pol van Rijn · Manuel Anglada-Tort · Ofer Tchernichovski · Pauline Larrouy-Maestri · Nori Jacoby
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1685
Learning sparse codes from compressed representations with biologically plausible local wiring constraints
Kion Fallah · Adam A Willats · Ninghao Liu · Christopher Rozell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1686
Shared Space Transfer Learning for analyzing multi-site fMRI data
Tony Muhammad Yousefnezhad · Alessandro Selvitella · Daoqiang Zhang · Andrew Greenshaw · Russell Greiner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1687
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
Mariya Toneva · Otilia Stretcu · Barnabas Poczos · Leila Wehbe · Tom Mitchell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1688
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1689
An Unsupervised Information-Theoretic Perceptual Quality Metric
Sangnie Bhardwaj · Ian Fischer · Johannes Ballé · Troy Chinen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1690
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos · Kristof Meding · Felix A. Wichmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1691
CoMIR: Contrastive Multimodal Image Representation for Registration
Nicolas Pielawski · Elisabeth Wetzer · Johan Öfverstedt · Jiahao Lu · Carolina Wählby · Joakim Lindblad · Natasa Sladoje
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1692
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch · Ankush Gupta · Andrew Zisserman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1693
Contrastive learning of global and local features for medical image segmentation with limited annotations
Krishna Chaitanya · Ertunc Erdil · Neerav Karani · Ender Konukoglu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1694
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb · Winfried Loetzsch · Noel Danz · Julius Severin · Thomas Gaertner · Benjamin Bergner · Christoph Lippert
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1695
Unsupervised Learning of Dense Visual Representations
Pedro O. Pinheiro · Amjad Almahairi · Ryan Benmalek · Florian Golemo · Aaron Courville
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1696
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam · Abhinav Gupta
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1697
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1698
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron · Ishan Misra · Julien Mairal · Priya Goyal · Piotr Bojanowski · Armand Joulin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1699
LoCo: Local Contrastive Representation Learning
Yuwen Xiong · Mengye Ren · Raquel Urtasun
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1700
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs
Lin Liu · Shanxin Yuan · Jianzhuang Liu · Liping Bao · Gregory Slabaugh · Qi Tian
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1701
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Yaochen Xie · Zhengyang Wang · Shuiwang Ji
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1702
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li · Yufei Wang · Renjie Wan · Shiqi Wang · Tie-Qiang Li · Alex Kot
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1703
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao · Zhijian Liu · Ji Lin · Jun-Yan Zhu · Song Han
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1704
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang · Yang Zou · B. V. K. Vijaya Kumar · Dong Huang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1705
ContraGAN: Contrastive Learning for Conditional Image Generation
Minguk Kang · Jaesik Park
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1706
Inverting Gradients - How easy is it to break privacy in federated learning?
Jonas Geiping · Hartmut Bauermeister · Hannah Dröge · Michael Moeller
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1707
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso · Luca Cavalleri · Dominique Beaini · Pietro Liò · Petar Veličković
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1708
Learning Graph Structure With A Finite-State Automaton Layer
Daniel D. Johnson · Hugo Larochelle · Danny Tarlow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1709
Graph Cross Networks with Vertex Infomax Pooling
Maosen Li · Siheng Chen · Ya Zhang · Ivor Tsang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1710
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1711
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
Christopher Morris · Gaurav Rattan · Petra Mutzel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1712
COPT: Coordinated Optimal Transport on Graphs
Yihe Dong · Will Sawin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1713
Building powerful and equivariant graph neural networks with structural message-passing
Clément Vignac · Andreas Loukas · Pascal Frossard
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1714
Rethinking pooling in graph neural networks
Diego Mesquita · Amauri Souza · Samuel Kaski
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1715
Random Walk Graph Neural Networks
Giannis Nikolentzos · Michalis Vazirgiannis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1716
Path Integral Based Convolution and Pooling for Graph Neural Networks
Zheng Ma · Junyu Xuan · Yuguang Wang · Ming Li · Pietro Liò
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1717
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu (Hugo) Chen · Lingfei Wu · Mohammed Zaki
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1718
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou · Xiao Huang · Yuening Li · Daochen Zha · Rui Chen · Xia Hu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1719
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz · Luiz Chamon · Alejandro Ribeiro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1720
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven · Alberto Bietti · Samuel Vaiter
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1721
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang · Marinka Zitnik
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1722
Parameterized Explainer for Graph Neural Network
Dongsheng Luo · Wei Cheng · Dongkuan Xu · Wenchao Yu · Bo Zong · Haifeng Chen · Xiang Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1831
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
Nathan Kallus · Angela Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1251
Linear-Sample Learning of Low-Rank Distributions
Ayush Jain · Alon Orlitsky
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1320
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification
Yulin Wang · Kangchen Lv · Rui Huang · Shiji Song · Le Yang · Gao Huang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1724
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
Guoqiang Wu · Jun Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1725
Generalization Bound of Gradient Descent for Non-Convex Metric Learning
MINGZHI DONG · Xiaochen Yang · Rui Zhu · Yujiang Wang · Jing-Hao Xue
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1726
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression
Denny Wu · Ji Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1727
Learning to Approximate a Bregman Divergence
Ali Siahkamari · XIDE XIA · Venkatesh Saligrama · David Castañón · Brian Kulis
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1728
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
Zhou Fan · Zhichao Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1729
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
Stanislav Fort · Gintare Karolina Dziugaite · Mansheej Paul · Sepideh Kharaghani · Daniel Roy · Surya Ganguli
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1730
Learning to solve TV regularised problems with unrolled algorithms
Hamza Cherkaoui · Jeremias Sulam · Thomas Moreau
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1731
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1732
Neural Networks Learning and Memorization with (almost) no Over-Parameterization
Amit Daniely
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1733
From Boltzmann Machines to Neural Networks and Back Again
Surbhi Goel · Adam Klivans · Frederic Koehler
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1734
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan Kelner · Frederic Koehler · Raghu Meka · Ankur Moitra
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1735
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm
Tianyi Lin · Nhat Ho · Xi Chen · Marco Cuturi · Michael Jordan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1736
Projection Robust Wasserstein Distance and Riemannian Optimization
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1737
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
Christos Thrampoulidis · Samet Oymak · Mahdi Soltanolkotabi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1738
Minimax Bounds for Generalized Linear Models
Kuan-Yun Lee · Thomas Courtade
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1739
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics
Taiji Suzuki
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1740
Deep reconstruction of strange attractors from time series
William Gilpin
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1741
STEER : Simple Temporal Regularization For Neural ODE
Arnab Ghosh · Harkirat Singh Behl · Emilien Dupont · Philip Torr · Vinay Namboodiri
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1742
Learning Manifold Implicitly via Explicit Heat-Kernel Learning
Yufan Zhou · Changyou Chen · Jinhui Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1743
Better Set Representations For Relational Reasoning
Qian Huang · Horace He · Abhay Singh · Yan Zhang · Ser Nam Lim · Austin Benson
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1744
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks
Amir Rahimi · Amirreza Shaban · Ching-An Cheng · Richard I Hartley · Byron Boots
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1745
Model Inversion Networks for Model-Based Optimization
Aviral Kumar · Sergey Levine
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1746
Variational Amodal Object Completion
Huan Ling · David Acuna · Karsten Kreis · Seung Wook Kim · Sanja Fidler
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1747
Low Distortion Block-Resampling with Spatially Stochastic Networks
Sarah Hong · Martin Arjovsky · Darryl Barnhart · Ian Thompson
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1748
Understanding Deep Architecture with Reasoning Layer
Xinshi Chen · Yufei Zhang · Christoph Reisinger · Le Song
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1749
AdaTune: Adaptive Tensor Program Compilation Made Efficient
Menghao Li · Minjia Zhang · Chi Wang · Mingqin Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1750
CircleGAN: Generative Adversarial Learning across Spherical Circles
Woohyeon Shim · Minsu Cho
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1751
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Hyeongju Kim · Hyeonseung Lee · Woo Hyun Kang · Joun Yeop Lee · Nam Soo Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1752
Improved Techniques for Training Score-Based Generative Models
Yang Song · Stefano Ermon
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1753
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging
Chaoning Zhang · Philipp Benz · Adil Karjauv · Geng Sun · In So Kweon
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1754
Deep Archimedean Copulas
Chun Kai Ling · Fei Fang · J. Zico Kolter
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1755
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
Jacob Deasy · Nikola Simidjievski · Pietro Lió
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1756
CO-Optimal Transport
Titouan Vayer · Ievgen Redko · Rémi Flamary · Nicolas Courty
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1757
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling
Viet Huynh · He Zhao · Dinh Phung
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1758
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification
Hyun-Suk Lee · Yao Zhang · William Zame · Cong Shen · Jang-Won Lee · Mihaela van der Schaar
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1759
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Vo Nguyen Le Duy · Hiroki Toda · Ryota Sugiyama · Ichiro Takeuchi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1760
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
Cheng Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1761
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory
Jie Ren · Minjia Zhang · Dong Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1762
Noise-Contrastive Estimation for Multivariate Point Processes
Hongyuan Mei · Tom Wan · Jason Eisner
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1763
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web
Zhenwei Dai · Anshumali Shrivastava
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1764
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
Woosuk Kwon · Gyeong-In Yu · Eunji Jeong · Byung-Gon Chun
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1765
Baxter Permutation Process
Masahiro Nakano · Akisato Kimura · Takeshi Yamada · Naonori Ueda
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1766
A mathematical theory of cooperative communication
Pei Wang · Junqi Wang · Pushpi Paranamana · Patrick Shafto
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1767
All your loss are belong to Bayes
Christian Walder · Richard Nock
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1768
The Potts-Ising model for discrete multivariate data
Zahra Razaee · Arash Amini
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1769
Bidirectional Convolutional Poisson Gamma Dynamical Systems
wenchao chen · Chaojie Wang · Bo Chen · Yicheng Liu · Hao Zhang · Mingyuan Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1770
Variational Bayesian Unlearning
Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1771
Theory-Inspired Path-Regularized Differential Network Architecture Search
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1772
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search
Houwen Peng · Hao Du · Hongyuan Yu · QI LI · Jing Liao · Jianlong Fu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1773
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement
Miao Zhang · Huiqi Li · Shirui Pan · Xiaojun Chang · Zongyuan Ge · Steven Su
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1774
AutoBSS: An Efficient Algorithm for Block Stacking Style Search
Yikang Zhang · Jian Zhang · Zhao Zhong
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1775
Semi-Supervised Neural Architecture Search
Renqian Luo · Xu Tan · Rui Wang · Tao Qin · Enhong Chen · Tie-Yan Liu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1776
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan · Yu Zheng · Wei Ao · Xiao Zeng · Mi Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1777
A Study on Encodings for Neural Architecture Search
Colin White · Willie Neiswanger · Sam Nolen · Yash Savani
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1778
Evolving Normalization-Activation Layers
Hanxiao Liu · Andy Brock · Karen Simonyan · Quoc V Le
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1779
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Yongqi Zhang · Quanming Yao · Lei Chen
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1780
Auto Learning Attention
Benteng Ma · Jing Zhang · Yong Xia · Dacheng Tao
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1781
Transferable Graph Optimizers for ML Compilers
Yanqi Zhou · Sudip Roy · Amirali Abdolrashidi · Daniel Wong · Peter Ma · Qiumin Xu · Hanxiao Liu · Phitchaya Phothilimtha · Shen Wang · Anna Goldie · Azalia Mirhoseini · James Laudon
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1782
Adapting Neural Architectures Between Domains
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1783
Revisiting Parameter Sharing for Automatic Neural Channel Number Search
Jiaxing Wang · Haoli Bai · Jiaxiang Wu · Xupeng Shi · Junzhou Huang · Irwin King · Michael R Lyu · Jian Cheng
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1784
Neuron-level Structured Pruning using Polarization Regularizer
Tao Zhuang · Zhixuan Zhang · Yuheng Huang · Xiaoyi Zeng · Kai Shuang · Xiang Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1785
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong · Zhewei Yao · Daiyaan Arfeen · Amir Gholami · Michael Mahoney · Kurt Keutzer
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1786
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin · Wei-Ming Chen · Yujun Lin · john cohn · Chuang Gan · Song Han
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1788
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding
Gergely Flamich · Marton Havasi · José Miguel Hernández-Lobato
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1790
Bi-level Score Matching for Learning Energy-based Latent Variable Models
Fan Bao · Chongxuan LI · Kun Xu · Hang Su · Jun Zhu · Bo Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1791
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat · Jan Kautz
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1792
Reciprocal Adversarial Learning via Characteristic Functions
Shengxi Li · Zeyang Yu · Min Xiang · Danilo Mandic
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1793
Stochastic Stein Discrepancies
Jackson Gorham · Anant Raj · Lester Mackey
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1794
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
Theofanis Karaletsos · Thang Bui
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1795
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Wanqian Yang · Lars Lorch · Moritz Graule · Himabindu Lakkaraju · Finale Doshi-Velez
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1796
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
Rui Zhang · Christian Walder · Edwin Bonilla · Marian-Andrei Rizoiu · Lexing Xie
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1797
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables
Guangyao Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1798
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
Simone Rossi · Sebastien Marmin · Maurizio Filippone
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1799
f-Divergence Variational Inference
Neng Wan · Dapeng Li · NAIRA HOVAKIMYAN
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1800
Flexible mean field variational inference using mixtures of non-overlapping exponential families
Jeffrey Spence
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1801
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
Ye He · Krishnakumar Balasubramanian · Murat Erdogdu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1802
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions
Shom Banerjee
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1803
Community detection using fast low-cardinality semidefinite programming

Po-Wei Wang · J. Zico Kolter
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1804
Online Optimization with Memory and Competitive Control
Guanya Shi · Yiheng Lin · Soon-Jo Chung · Yisong Yue · Adam Wierman
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1805
Simple and Fast Algorithm for Binary Integer and Online Linear Programming
Xiaocheng Li · Chunlin Sun · Yinyu Ye
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1806
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
Omid Sadeghi · Prasanna Raut · Maryam Fazel
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1807
Online Convex Optimization Over Erdos-Renyi Random Networks
Jinlong Lei · Peng Yi · Yiguang Hong · Jie Chen · Guodong Shi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1808
Thunder: a Fast Coordinate Selection Solver for Sparse Learning
Shaogang Ren · Weijie Zhao · Ping Li
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1809
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time
Kai Han · zongmai Cao · Shuang Cui · Benwei Wu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1810
The Primal-Dual method for Learning Augmented Algorithms
Etienne Bamas · Andreas Maggiori · Ola Svensson
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1812
Fully Dynamic Algorithm for Constrained Submodular Optimization
Silvio Lattanzi · Slobodan Mitrović · Ashkan Norouzi-Fard · Jakub Tarnawski · Morteza Zadimoghaddam
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1813
Submodular Maximization Through Barrier Functions
Ashwinkumar Badanidiyuru · Amin Karbasi · Ehsan Kazemi · Jan Vondrak
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1814
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds
Nicholas Harvey · Christopher Liaw · Tasuku Soma
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1815
Robust Sequence Submodular Maximization
Gamal Sallam · Zizhan Zheng · Jie Wu · Bo Ji
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1816
Continuous Submodular Maximization: Beyond DR-Submodularity
Moran Feldman · Amin Karbasi
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1817
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
Dimitris Fotakis · Thanasis Lianeas · Georgios Piliouras · Stratis Skoulakis
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1818
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma · Shuangrui Ding · Qiaozhu Mei
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1819
Boundary thickness and robustness in learning models
Yaoqing Yang · Rajiv Khanna · Yaodong Yu · Amir Gholami · Kurt Keutzer · Joseph Gonzalez · Kannan Ramchandran · Michael Mahoney
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1820
Exploiting weakly supervised visual patterns to learn from partial annotations
Kaustav Kundu · Joseph Tighe
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1821
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
Yu Yao · Tongliang Liu · Bo Han · Mingming Gong · Jiankang Deng · Gang Niu · Masashi Sugiyama
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1822
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1823
Digraph Inception Convolutional Networks
Zekun Tong · Yuxuan Liang · Changsheng Sun · Xinke Li · David Rosenblum · Andrew Lim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1824
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman · Chiyuan Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1825
Self-Adaptive Training: beyond Empirical Risk Minimization
Lang Huang · Chao Zhang · Hongyang Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1826
Debugging Tests for Model Explanations
Julius Adebayo · Michael Muelly · Ilaria Liccardi · Been Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1827
Point process models for sequence detection in high-dimensional neural spike trains
Alex Williams · Anthony Degleris · Yixin Wang · Scott Linderman
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1828
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han · Erik De Schutter · Sungho Hong
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1829
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
Tao Fang · Yu Qi · Gang Pan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1830
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex
Benjamin Cowley · Jonathan Pillow
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1832
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee · Benjamin Eysenbach · Russ Salakhutdinov · Shixiang (Shane) Gu · Chelsea Finn
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1833
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee · Ian Fischer · Anthony Liu · Yijie Guo · Honglak Lee · John Canny · Sergio Guadarrama
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1834
The route to chaos in routing games: When is price of anarchy too optimistic?
Thiparat Chotibut · Fryderyk Falniowski · Michał Misiurewicz · Georgios Piliouras
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1835
Graph Meta Learning via Local Subgraphs
Kexin Huang · Marinka Zitnik
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1836
Graph Information Bottleneck
Tailin Wu · Hongyu Ren · Pan Li · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1837
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs
Hao Tang · Zhiao Huang · Jiayuan Gu · Bao-Liang Lu · Hao Su
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1838
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding
Rishi Sonthalia · Anna Gilbert
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1839
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen · Zhewei Wei · Bolin Ding · Yaliang Li · Ye Yuan · Xiaoyong Du · Ji-Rong Wen
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1840
Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs
Naganand Yadati
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1841
A graph similarity for deep learning
Seongmin Ok
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1842
Implicit Graph Neural Networks
Fangda Gu · Heng Chang · Wenwu Zhu · Somayeh Sojoudi · Laurent El Ghaoui
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1843
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Dasol Hwang · Jinyoung Park · Sunyoung Kwon · KyungMin Kim · Jung-Woo Ha · Hyunwoo Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1844
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
Le Zhang · Ryutaro Tanno · Mou-Cheng Xu · Chen Jin · Joseph Jacob · Olga Cicarrelli · Frederik Barkhof · Daniel Alexander
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1845
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu · Zheng Xiong · Meng Qu · Xingdi Yuan · Marc-Alexandre Côté · Zhiyuan Liu · Jian Tang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1846
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu · Matthias Fey · Marinka Zitnik · Yuxiao Dong · Hongyu Ren · Bowen Liu · Michele Catasta · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1847
Factorizable Graph Convolutional Networks
Yiding Yang · Zunlei Feng · Mingli Song · Xinchao Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1848
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning
Runzhong Wang · Junchi Yan · Xiaokang Yang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1849
Natural Graph Networks
Pim de Haan · Taco Cohen · Max Welling
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1850
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono · Taiji Suzuki
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1851
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Jack Parker-Holder · Luke Metz · Cinjon Resnick · Hengyuan Hu · Adam Lerer · Alistair Letcher · Alexander Peysakhovich · Aldo Pacchiano · Jakob Foerster
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1852
Sinkhorn Natural Gradient for Generative Models
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1853
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
Jiaxi Ying · José Vinícius de Miranda Cardoso · Daniel Palomar
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1854
How many samples is a good initial point worth in Low-rank Matrix Recovery?
Jialun Zhang · Richard Y Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1855
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
Jonathan Lacotte · Mert Pilanci
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1856
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs
Agniva Chowdhury · Palma London · Haim Avron · Petros Drineas
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1857
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
Michal Derezinski · Burak Bartan · Mert Pilanci · Michael Mahoney
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1858
Tight last-iterate convergence rates for no-regret learning in multi-player games
Noah Golowich · Sarath Pattathil · Constantinos Daskalakis
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1859
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
Jialin Song · ravi lanka · Yisong Yue · Bistra Dilkina
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1860
Sinkhorn Barycenter via Functional Gradient Descent
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1861
Improved Analysis of Clipping Algorithms for Non-convex Optimization
Bohang Zhang · Jikai Jin · Cong Fang · Liwei Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1862
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
Fan Wu · Patrick Rebeschini
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1863
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan · Tengyu Ma
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1864
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang · Tommy Tang · Yifan Ding · Sekhar C Tatikonda · Nicha Dvornek · Xenophon Papademetris · James Duncan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1865
SGD with shuffling: optimal rates without component convexity and large epoch requirements
Kwangjun Ahn · Chulhee Yun · Suvrit Sra
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1866
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Thanasis Lianeas · Panayotis Mertikopoulos · Georgios Piliouras
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1867
Generalized Leverage Score Sampling for Neural Networks
Jason Lee · Ruoqi Shen · Zhao Song · Mengdi Wang · zheng Yu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1868
Passport-aware Normalization for Deep Model Protection
Jie Zhang · Dongdong Chen · Jing Liao · Weiming Zhang · Gang Hua · Nenghai Yu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1869
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han · Yunhe Wang · Qiulin Zhang · Wei Zhang · Chunjing XU · Tong Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1870
Neural Networks Fail to Learn Periodic Functions and How to Fix It
Liu Ziyin · Tilman Hartwig · Masahito Ueda
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1871
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee · Samuel Schoenholz · Jeffrey Pennington · Ben Adlam · Lechao Xiao · Roman Novak · Jascha Sohl-Dickstein
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1872
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
Ryo Karakida · Kazuki Osawa
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1873
Collegial Ensembles
Etai Littwin · Ben Myara · Sima Sabah · Joshua Susskind · Shuangfei Zhai · Oren Golan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1874
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping
Minjia Zhang · Yuxiong He
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1875
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
Samarth Sinha · Zhengli Zhao · Anirudh Goyal · Colin A Raffel · Augustus Odena
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1876
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning
Pan Zhou · Jiashi Feng · Chao Ma · Caiming Xiong · Steven Chu Hong Hoi · Weinan E
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1877
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks
Zixiang Chen · Yuan Cao · Quanquan Gu · Tong Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1878
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
Juhan Bae · Roger Grosse
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1879
Coresets for Robust Training of Deep Neural Networks against Noisy Labels
Baharan Mirzasoleiman · Kaidi Cao · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1880
Learning Deep Attribution Priors Based On Prior Knowledge
Ethan Weinberger · Joseph Janizek · Su-In Lee
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1881
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1882
Escaping Saddle-Point Faster under Interpolation-like Conditions
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi · Prasant Mohapatra
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1883
Learning Loss for Test-Time Augmentation
Ildoo Kim · Younghoon Kim · Sungwoong Kim
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1884
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts
Max Ryabinin · Anton Gusev
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1885
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Zhennan Wang · Canqun Xiang · Wenbin Zou · Chen Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1886
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification
Yihao Lv · Youzhi Gu · Liu Xinggao
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1887
Is normalization indispensable for training deep neural network?
Jie Shao · Kai Hu · Changhu Wang · Xiangyang Xue · Bhiksha Raj
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1888
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang · Yunhe Wang · Yixing Xu · Dacheng Tao · Chunjing XU · Chao Xu · Chang Xu
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1889
Train-by-Reconnect: Decoupling Locations of Weights from Their Values
Yushi Qiu · Reiji Suda
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1890
Deep Metric Learning with Spherical Embedding
Dingyi Zhang · Yingming Li · Zhongfei Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1891
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1892
Top-KAST: Top-K Always Sparse Training
Siddhant Jayakumar · Razvan Pascanu · Jack Rae · Simon Osindero · Erich Elsen
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1893
Task-Oriented Feature Distillation
Linfeng Zhang · Yukang Shi · Zuoqiang Shi · Kaisheng Ma · Chenglong Bao
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1894
Rotated Binary Neural Network
Mingbao Lin · Rongrong Ji · Zihan Xu · Baochang Zhang · Yan Wang · Yongjian Wu · Feiyue Huang · Chia-Wen Lin
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1895
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
Shangchen Du · Shan You · Xiaojie Li · Jianlong Wu · Fei Wang · Chen Qian · Changshui Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1896
Sparse Weight Activation Training
Md Aamir Raihan · Tor Aamodt
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1897
Recurrent Quantum Neural Networks
Johannes Bausch
[ Paper ]
Poster
Thu Dec 10 09:00 PM -- 11:00 PM (PST) @ Poster Session 6 #1898
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
Jincheng Bai · Qifan Song · Guang Cheng
[ Paper ]